[{"nid":"39","access":true,"node":{"vid":"39","uid":"3","title":"Million Dollar Blocks","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"39","type":"project","language":"und","created":"1401916758","changed":"1462210002","tnid":"0","translate":"0","revision_timestamp":"1462210002","revision_uid":"1","field_description":{"und":[{"value":"\u003Cp\u003EUsing rarely accessible data from the criminal justice system, the Spatial Information Design Lab and the Justice Mapping Center have created maps of these \u201cmillion dollar blocks\u201d and of the city-prison-city-prison migration flow for five of the nation\u2019s cities. The maps suggest that the criminal justice system has become the predominant government institution in these communities and that public investment in this system has resulted in significant costs to other elements of our civic infrastructure \u2014 education, housing, health, and family. Prisons and jails form the distant exostructure of many American cities today.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project continues to present ongoing work on criminal justice statistics to make visible the geography of incarceration and return in New York, Phoenix, New Orleans, and Wichita, prompting new ways of understanding the spatial dimension of an area of public policy with profound implications for American cities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EMillion Dollar Blocks is the first of a series of projects to be undertaken by SIDL, as part of a two year research and development project on Graphical Innovation in Justice Mapping. The project, generously supported by the JEHT Foundation and by the Open Society Institute activates a partnership between the Justice Mapping Center (JMC), the JFA Institute (JFA), and the Columbia University Graduate School of Architecture, Planning \u0026amp; Preservation (GSAPP).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThis unique partnership enables the Justice Mapping Center to refine analytical and graphical techniques within the research and teaching environment of the Spatial Information Design Lab, which can then be applied to real life policy initiatives through work with the JFA Institute. Reciprocally, input from state and local leaders is then brought back to the Design Lab for further development. This feedback loop is a valuable tool resulting in new methods of spatial analyses and ways of visually presenting them that reveal previously unseen dimensions of criminal justice and related government policies in states across the United States.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe results of this collaboration have transformed the project into multiple formats and forums for exhibition.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_admissions.jpg?itok=V28o1NSL\u0022 \/\u003EData in geographic context shows people in prision are highly concentrated in specific neighborhoods.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_expenditures.jpg?itok=oK4YF9Qq\u0022 \/\u003EAdded up block by block, it cost $359 Million Dollars to imprision people from Brooklyn that year.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_01_0.jpg?itok=QH_ZBa45\u0022 \/\u003EFrom a demographic point of view the spending facilitates a mass migration of people to prision, 95% of whom eventually return home.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_02.jpg?itok=IaqY-DAF\u0022 \/\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_expenditures_wih16_rgb.jpg?itok=l5UDnQ40\u0022 \/\u003ECommunity District 16 has 3.5% of Brooklyn\u0027s population but 8.5% of its prision admissions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_Zoom_0.jpg?itok=iLBDpIwI\u0022 \/\u003EIt cost $11,839,665 to incarcerate people from these 11 blocks in 2003. We call these Million Dollar Blocks.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EUsing rarely accessible data from the criminal justice system, the Spatial Information Design Lab and the Justice Mapping Center have created maps of these \u201cmillion dollar blocks\u201d and of the city-prison-city-prison migration flow for five of the nation\u2019s cities. The maps suggest that the criminal justice system has become the predominant government institution in these communities and that public investment in this system has resulted in significant costs to other elements of our civic infrastructure \u2014 education, housing, health, and family. Prisons and jails form the distant exostructure of many American cities today.\u00a0\u003C\/p\u003E\n\u003Cp\u003EThe project continues to present ongoing work on criminal justice statistics to make visible the geography of incarceration and return in New York, Phoenix, New Orleans, and Wichita, prompting new ways of understanding the spatial dimension of an area of public policy with profound implications for American cities.\u003C\/p\u003E\n\u003Cp\u003EMillion Dollar Blocks is the first of a series of projects to be undertaken by SIDL, as part of a two year research and development project on Graphical Innovation in Justice Mapping. The project, generously supported by the JEHT Foundation and by the Open Society Institute activates a partnership between the Justice Mapping Center (JMC), the JFA Institute (JFA), and the Columbia University Graduate School of Architecture, Planning \u0026amp; Preservation (GSAPP).\u003C\/p\u003E\n\u003Cp\u003EThis unique partnership enables the Justice Mapping Center to refine analytical and graphical techniques within the research and teaching environment of the Spatial Information Design Lab, which can then be applied to real life policy initiatives through work with the JFA Institute. Reciprocally, input from state and local leaders is then brought back to the Design Lab for further development. This feedback loop is a valuable tool resulting in new methods of spatial analyses and ways of visually presenting them that reveal previously unseen dimensions of criminal justice and related government policies in states across the United States.\u003C\/p\u003E\n\u003Cp\u003EThe results of this collaboration have transformed the project into multiple formats and forums for exhibition.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_admissions.jpg?itok=V28o1NSL\u0022 \/\u003EData in geographic context shows people in prision are highly concentrated in specific neighborhoods.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_expenditures.jpg?itok=oK4YF9Qq\u0022 \/\u003EAdded up block by block, it cost $359 Million Dollars to imprision people from Brooklyn that year.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_01_0.jpg?itok=QH_ZBa45\u0022 \/\u003EFrom a demographic point of view the spending facilitates a mass migration of people to prision, 95% of whom eventually return home.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_02.jpg?itok=IaqY-DAF\u0022 \/\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_expenditures_wih16_rgb.jpg?itok=l5UDnQ40\u0022 \/\u003ECommunity District 16 has 3.5% of Brooklyn\u0027s population but 8.5% of its prision admissions.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/SIDL_MDB_Zoom_0.jpg?itok=iLBDpIwI\u0022 \/\u003EIt cost $11,839,665 to incarcerate people from these 11 blocks in 2003. We call these Million Dollar Blocks.\u00a0\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"2"}]},"field_project_tags":{"und":[{"tid":"5"},{"tid":"24"}]},"field_project_images2":{"und":[{"fid":"640","uid":"39","filename":"SIDL_MDB_expenditures_wih16_rgb.jpg","uri":"public:\/\/SIDL_MDB_expenditures_wih16_rgb_0.jpg","filemime":"image\/jpeg","filesize":"698093","status":"1","timestamp":"1461075821","type":"undefined","metadata":[],"alt":"Prison Expenditures in Brooklyn","title":"","width":"2197","height":"1673"},{"fid":"629","uid":"39","filename":"SIDL_MDB_Zoom03.jpg","uri":"public:\/\/SIDL_MDB_Zoom03_0.jpg","filemime":"image\/jpeg","filesize":"340702","status":"1","timestamp":"1460984485","type":"undefined","metadata":[],"alt":"Million Dollar Blocks in Brooklyn\u0027s Community District 16","title":"","width":"2192","height":"1671"},{"fid":"630","uid":"39","filename":"SIDL_MDB_Zoom04.jpg","uri":"public:\/\/SIDL_MDB_Zoom04_0.jpg","filemime":"image\/jpeg","filesize":"635472","status":"1","timestamp":"1460984485","type":"undefined","metadata":[],"alt":"Prison expenditures per capita in Brooklyn\u0027s Community District 16","title":"","width":"2193","height":"1666"},{"fid":"631","uid":"39","filename":"SIDL_MDB_Zoom.jpg","uri":"public:\/\/SIDL_MDB_Zoom.jpg","filemime":"image\/jpeg","filesize":"1092340","status":"1","timestamp":"1460984485","type":"undefined","metadata":[],"alt":"Brooklyn\u0027s Community District 16","title":"","width":"2115","height":"1613"},{"fid":"639","uid":"39","filename":"SIDL_MDB_admissions.jpg","uri":"public:\/\/SIDL_MDB_admissions_0.jpg","filemime":"image\/jpeg","filesize":"682258","status":"1","timestamp":"1461075821","type":"undefined","metadata":[],"alt":"Prison Admissions in Brooklyn","title":"","width":"2192","height":"1669"}]},"field_software_tags":{"und":[{"tid":"12"}]},"field_additional_people":{"und":[{"value":"Laura Kurgan \u0026 Eric Cadora, Directors\r\nDavid Reinfurt \u0026 Sarah Williams, Research Associates\r\nLeah Meisterlin, Research Assistant","format":null,"safe_value":"Laura Kurgan \u0026amp; Eric Cadora, Directors\r\nDavid Reinfurt \u0026amp; Sarah Williams, Research Associates\r\nLeah Meisterlin, Research Assistant"}]},"field_project_files":{"und":[{"fid":"479","uid":"39","filename":"ArchitectureAndJustice.pdf","uri":"public:\/\/ArchitectureAndJustice.pdf","filemime":"application\/pdf","filesize":"3198871","status":"1","timestamp":"1458270221","type":"default","metadata":[],"display":"1","description":""},{"fid":"477","uid":"39","filename":"ThePattern.pdf","uri":"public:\/\/ThePattern.pdf","filemime":"application\/pdf","filesize":"22830902","status":"1","timestamp":"1458269963","type":"default","metadata":[],"display":"1","description":""},{"fid":"478","uid":"39","filename":"ScenarioPlanning.pdf","uri":"public:\/\/ScenarioPlanning.pdf","filemime":"application\/pdf","filesize":"15623275","status":"1","timestamp":"1458270221","type":"default","metadata":[],"display":"1","description":""}]},"field_project_contact":{"und":[{"email":"ljk33@columbia.edu"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EThe United States currently has more than two million people locked up in jails and prisons. A disproportionate number of them come from a very few neighborhoods in the country\u2019s biggest cities. In many places the concentration is so dense that states are spending in excess of a million dollars a year to incarcerate the residents of single city blocks. Using rarely accessible data from the criminal justice system, the Spatial Information Design Lab and the Justice Mapping Center have created maps of these \u201cmillion dollar blocks\u201d and of the city-prison-city-prison migration flow for five of the nation\u2019s cities.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThe United States currently has more than two million people locked up in jails and prisons. A disproportionate number of them come from a very few neighborhoods in the country\u2019s biggest cities. In many places the concentration is so dense that states are spending in excess of a million dollars a year to incarcerate the residents of single city blocks. Using rarely accessible data from the criminal justice system, the Spatial Information Design Lab and the Justice Mapping Center have created maps of these \u201cmillion dollar blocks\u201d and of the city-prison-city-prison migration flow for five of the nation\u2019s cities.\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2006-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"625","uid":"39","filename":"SIDL_MDB_Zoom04.jpg","uri":"public:\/\/SIDL_MDB_Zoom04.jpg","filemime":"image\/jpeg","filesize":"635472","status":"1","timestamp":"1460984485","type":"undefined","metadata":[],"alt":"","title":"","width":"2193","height":"1666"}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003EThe United States currently has more than 2 million people locked up in jails and prisons. A disproportionate number of them come from a very few neighborhoods in the country\u2019s biggest cities. In many places the concentration is so dense that states are spending in excess of a million dollars a year to incarcerate the residents of single city blocks. When these people are released and reenter their communities, roughly forty percent do not stay more than three years before they are reincarcerated.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThe United States currently has more than 2 million people locked up in jails and prisons. A disproportionate number of them come from a very few neighborhoods in the country\u2019s biggest cities. In many places the concentration is so dense that states are spending in excess of a million dollars a year to incarcerate the residents of single city blocks. When these people are released and reenter their communities, roughly forty percent do not stay more than three years before they are reincarcerated.\u00a0\u003C\/p\u003E\n"}]},"field_publication_links":{"und":[{"url":"http:\/\/www.spatialinformationdesignlab.org\/sites\/default\/files\/publication_pdfs\/PDF_04.pdf","title":"Architecture and Justice PDF","attributes":[],"original_title":"Architecture and Justice PDF","original_url":"http:\/\/www.spatialinformationdesignlab.org\/sites\/default\/files\/publication_pdfs\/PDF_04.pdf"},{"url":"http:\/\/www.spatialinformationdesignlab.org\/sites\/default\/files\/publication_pdfs\/ScenarioPlanning.pdf","title":"Scenerio Planning PDF","attributes":[],"original_title":"Scenerio Planning PDF","original_url":"http:\/\/www.spatialinformationdesignlab.org\/sites\/default\/files\/publication_pdfs\/ScenarioPlanning.pdf"},{"url":"http:\/\/www.spatialinformationdesignlab.org\/sites\/default\/files\/publication_pdfs\/ThePattern.pdf","title":"The Pattern 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Blocks","sort_date":"2006","pub_link":"","pub_pdf":"","path":"projects\/million-dollar-blocks","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/SIDL_MDB_Zoom04.jpg?itok=XFjZPzMb","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/SIDL_MDB_Zoom04.jpg?itok=6RpCBhSt","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/SIDL_MDB_Zoom04.jpg?itok=TjjU8Qj9"},"node_path_alias":"projects\/million-dollar-blocks"},{"nid":"36","access":true,"node":{"vid":"36","uid":"3","title":"Architecture and Justice","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"36","type":"project","language":"und","created":"1401915462","changed":"1461618959","tnid":"0","translate":"0","revision_timestamp":"1461618959","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003EThe exhibition focused on the first year of work completed by the lab around the \u201cMillion Dollar Blocks\u201d project. We presented \u201cMillion Dollar Block\u201d maps of New York, New Orleans, Wichita and Phoenix. The United States currently has more than 2 million people locked up in jails and prisons. A disproportionate number of them come from a very few neighborhoods in the country\u2019s biggest cities. In many places the concentration is so dense that states are spending in excess of a million dollars a year to incarcerate the residents of single city blocks.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nHalf way through the exhibition, SIDL hosted a Justice Reinvestment Scenario Planning Workshop which was facilitated by the Global Business Network that brought together local government agency leaders, technical assistance specialists, community developers, architects, and urban planners to explore the possibilities of policy and design, highlighted by our maps, in a single neighborhood. It was our hope that the experts we had gathered around the tables in the space of the exhibit would contribute to taking the project from analysis into suggestions and proposals of possible futures for these places.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThe form of intervention most commonly accepted by a range of people working on reentry, is \u0022Justice Reinvestment.\u0022 This is understood as an effort to reorient criminal justice and related government agency operations and resources around specific places in the city. More simply put, how might we save state money spent on prisons, and redirect that money where it is most needed, in the poorest urban areas of our cities?\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThe Workshop itself took place over the course of one day. It was structured around the presentation of a variety of data\u2014criminal justice, homelessness, health and human services, socio-economic, land-use, and architectural\u2014which workshop participants used to explore possible scenarios for a particular series of \u201cmillion dollar blocks\u201d. The results of the workshop are documented in a publication.\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nBrownsville in Brooklyn was the focus of the workshop, both because it is one of the highest prison and jail migration areas in the City and because it is the focus of current efforts by local housing developers (Common Ground) and technical assistance specialists (Family Justice) to establish more successful ways of resettling homeless and reentering populations. We took into consideration as well, that Brownsville, is part of a larger urban initiative \u2013 the Jail Discharge Planning Initiative that the Department Of Corrections(DOC) has been undertaking in partnership with the Department of Homeless Services(DHS) over the last three years.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThe exhibition focused on the first year of work completed by the lab around the \u201cMillion Dollar Blocks\u201d project. We presented \u201cMillion Dollar Block\u201d maps of New York, New Orleans, Wichita and Phoenix. The United States currently has more than 2 million people locked up in jails and prisons. A disproportionate number of them come from a very few neighborhoods in the country\u2019s biggest cities. In many places the concentration is so dense that states are spending in excess of a million dollars a year to incarcerate the residents of single city blocks.\u00a0\u003C\/p\u003E\n\u003Cp\u003EHalf way through the exhibition, SIDL hosted a Justice Reinvestment Scenario Planning Workshop which was facilitated by the Global Business Network that brought together local government agency leaders, technical assistance specialists, community developers, architects, and urban planners to explore the possibilities of policy and design, highlighted by our maps, in a single neighborhood. It was our hope that the experts we had gathered around the tables in the space of the exhibit would contribute to taking the project from analysis into suggestions and proposals of possible futures for these places.\u00a0\u003C\/p\u003E\n\u003Cp\u003EThe form of intervention most commonly accepted by a range of people working on reentry, is \u0022Justice Reinvestment.\u0022 This is understood as an effort to reorient criminal justice and related government agency operations and resources around specific places in the city. More simply put, how might we save state money spent on prisons, and redirect that money where it is most needed, in the poorest urban areas of our cities?\u00a0\u003C\/p\u003E\n\u003Cp\u003EThe Workshop itself took place over the course of one day. It was structured around the presentation of a variety of data\u2014criminal justice, homelessness, health and human services, socio-economic, land-use, and architectural\u2014which workshop participants used to explore possible scenarios for a particular series of \u201cmillion dollar blocks\u201d. The results of the workshop are documented in a publication.\u00a0\u003C\/p\u003E\n\u003Cp\u003EBrownsville in Brooklyn was the focus of the workshop, both because it is one of the highest prison and jail migration areas in the City and because it is the focus of current efforts by local housing developers (Common Ground) and technical assistance specialists (Family Justice) to establish more successful ways of resettling homeless and reentering populations. 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The project was part of a larger exhibition,\u0026nbsp;Terre Natale: Stop Eject.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EExits, a panoramic\u00a0multi-media installation which was on view at the Cartier\u00a0Foundation in Paris, France from November 2008 \u2013 March\u00a02009 as part of \u201cElsewhere starts here,\u201d conceptualized\u00a0by Paul Virilio. 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For example the majority of \u201ccheck in\u201d data comes from areas in the city that have the highest ratios of commercial use.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThe motivations behind these broadcasts vary between the two social media sites. Foursquare users tell us more about the mundane nuances of life \u2013 where their bed is, where they get their morning coffee, or where they work. While Facebook users tend to use the site to brag about the iconic places they have been to, Times Square, Little Italy, or the Empire State Building. Both sites tell us how social media users explore the city or more importantly how they broadcast their exploits.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ESites such as Foursquare and Facebook allow us to spatially mark our explorations in the city, creating rich databases that hold digital imprints of our interactions. 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This project explores the new geogrphies produced by these new services through a series of maps.\u00a0\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2012-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"205","uid":"1","filename":"Candy_Map_Foursquare-01.jpg","uri":"public:\/\/Candy_Map_Foursquare-01_0.jpg","filemime":"image\/jpeg","filesize":"657935","status":"1","timestamp":"1407518145","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"","title":"","width":"1280","height":"720"}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003ESocial media are increasingly becoming part of our everyday lives, from connecting with friends and sharing images to exploring cities through location-based applications. These new services have given us a different vantage point from which to understand, explore, navigate, and geographically record the places we live.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ESocial media are increasingly becoming part of our everyday lives, from connecting with friends and sharing images to exploring cities through location-based applications. These new services have given us a different vantage point from which to understand, explore, navigate, and geographically record the places we live.\u003C\/p\u003E\n"}]},"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":[],"field_themes":{"und":[{"tid":"81"},{"tid":"90"},{"tid":"93"},{"tid":"88"},{"tid":"87"}]},"field_methods":{"und":[{"tid":"76"},{"tid":"103"},{"tid":"75"}]},"field_one_sentence_description":{"und":[{"value":"Mapping social media in the city. ","format":null,"safe_value":"Mapping social media in the city. "}]},"field_project_team_v2":{"und":[{"value":"68","revision_id":"68"},{"value":"69","revision_id":"69"},{"value":"70","revision_id":"70"},{"value":"71","revision_id":"71"},{"value":"72","revision_id":"72"}]},"field_inline_images":[],"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":[],"field_dashboard_sort_date":{"und":[{"value":"2012-01-02 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"name":"juanfranciscosaldarriaga","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","initiative":"","sort_date":"2012","pub_link":"","pub_pdf":"","path":"projects\/here-now-social-media-and-psychological-city","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/Candy_Map_Foursquare-01_0.jpg?itok=nhbbNrYd","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/Candy_Map_Foursquare-01_0.jpg?itok=TPcen36B","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/Candy_Map_Foursquare-01_0.jpg?itok=2Cr2yW7r"},"node_path_alias":"projects\/here-now-social-media-and-psychological-city"},{"nid":"110","access":true,"node":{"vid":"110","uid":"16","title":"The Library Project","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"110","type":"project","language":"und","created":"1412190106","changed":"1509467397","tnid":"0","translate":"0","revision_timestamp":"1509467397","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003EToday, when one walks into a library, whether public or private, there is no way to comprehend the immensity, character and value of its collection. Perhaps this is visible in the vastness of the stacks, or of the building, but for the most part, the collection remains invisible. \u0026nbsp;\u201cSerendipity Search\u201d will allow for surfacing of books and other media stored in the library, into the hands of researchers and interested individuals through a more compelling and curiosity-provoking interface. In our current prototype, at the first level, we have visualized the Columbia Libraries collection in a single interactive interface. \u0026nbsp;At the second level, we have designed our first tool which browses library book which have multiple subjects in their metadata.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EToday, when one walks into a library, whether public or private, there is no way to comprehend the immensity, character and value of its collection. 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In our current prototype, at the first level, we have visualized the Columbia Libraries collection in a single interactive interface. \u00a0At the second level, we have designed our first tool which browses library book which have multiple subjects in their metadata.\u00a0\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"3"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"500","uid":"39","filename":"SIDL_Library_Catalog.jpg","uri":"public:\/\/SIDL_Library_Catalog.jpg","filemime":"image\/jpeg","filesize":"1522128","status":"1","timestamp":"1458497344","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"A visualization of the Columbia Library\u0027s holdings, circulation and activity.","title":"","width":"5350","height":"2985"},{"fid":"501","uid":"39","filename":"SIDL_Library_InterDis.png","uri":"public:\/\/SIDL_Library_InterDis.png","filemime":"image\/png","filesize":"1065273","status":"1","timestamp":"1458497344","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"A digital library tool for multidisciplinary exploration.","title":"","width":"2836","height":"1442"},{"fid":"502","uid":"39","filename":"SIDL_Library_InterDis02.png","uri":"public:\/\/SIDL_Library_InterDis02.png","filemime":"image\/png","filesize":"937473","status":"1","timestamp":"1458497344","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Books about architecture and science","title":"","width":"2912","height":"1478"}]},"field_software_tags":[],"field_additional_people":{"und":[{"value":"Laura Kurgan, Director\r\nAnnelie Berner, Design and Development\r\nDerek Watkins \u0026 Jen Lowe, Data Visualization\r\n","format":null,"safe_value":"Laura Kurgan, Director\r\nAnnelie Berner, Design and Development\r\nDerek Watkins \u0026amp; Jen Lowe, Data Visualization\r\n"}]},"field_project_files":[],"field_project_contact":{"und":[{"email":"ljk33@columbia.edu"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EToday, when one walks into a library, whether public or private, there is no way to comprehend the immensity, character and value of its collection. Perhaps this is visible in the vastness of the stacks, or of the building, but for the most part, the collection remains invisible. \u0026nbsp;\u201cSerendipity Search\u201d will allow for surfacing of books and other media stored in the library, into the hands of researchers and interested individuals through a more compelling and curiosity-provoking interface. In our current prototype, at the first level, we have visualized the Columbia Libraries collection in a single interactive interface. \u0026nbsp;At the second level, we have designed our first tool which browses library book which have multiple subjects in their metadata.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EToday, when one walks into a library, whether public or private, there is no way to comprehend the immensity, character and value of its collection. 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In our current prototype, at the first level, we have visualized the Columbia Libraries collection in a single interactive interface. \u00a0At the second level, we have designed our first tool which browses library book which have multiple subjects in their metadata.\u00a0\u003C\/p\u003E\n\u003Cp\u003E\u00a0\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2014-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"270","uid":"16","filename":"Serendipity_Search01_cropped.jpg","uri":"public:\/\/Serendipity_Search01_cropped.jpg","filemime":"image\/jpeg","filesize":"187785","status":"1","timestamp":"1412366157","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"","title":"","width":"562","height":"439"}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003ELike many public libraries across the United States, university libraries are undergoing massive changes as their catalogues and parts of their collections have been digitized, and their physical collections have outgrown their physical space. Browsing the collection now often happens online. What are the possible ways we can browse the collection and learn about how networks of knowledge are created across the Columbia University community?\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ELike many public libraries across the United States, university libraries are undergoing massive changes as their catalogues and parts of their collections have been digitized, and their physical collections have outgrown their physical space. Browsing the collection now often happens online. What are the possible ways we can browse the collection and learn about how networks of knowledge are created across the Columbia University community?\u003C\/p\u003E\n"}]},"field_publication_links":{"und":[{"url":"http:\/\/www.spatialinformationdesignlab.org\/library\/","title":"The Library Project Website","attributes":[],"original_title":"The Library Project Website","original_url":"http:\/\/www.spatialinformationdesignlab.org\/library\/"}]},"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"79"}]},"field_themes":{"und":[{"tid":"81"},{"tid":"96"},{"tid":"89"}]},"field_methods":{"und":[{"tid":"76"},{"tid":"105"}]},"field_one_sentence_description":{"und":[{"value":"Experimental methods of visualizing and searching the Columbia University Library catalog.","format":null,"safe_value":"Experimental methods of visualizing and searching the Columbia University Library catalog."}]},"field_project_team_v2":{"und":[{"value":"79","revision_id":"79"},{"value":"80","revision_id":"80"},{"value":"81","revision_id":"81"},{"value":"82","revision_id":"82"}]},"field_inline_images":[],"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"http:\/\/www.spatialinformationdesignlab.org\/library\/","title":null,"attributes":[],"original_title":null,"original_url":"http:\/\/www.spatialinformationdesignlab.org\/library\/"}]},"field_dashboard_sort_date":{"und":[{"value":"2014-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/library-project","name":"laura","picture":"0","data":"a:6:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;s:7:\u0022overlay\u0022;i:1;}","initiative":"Advanced Data Visualization","sort_date":"2014","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/Serendipity_Search01_cropped.jpg?itok=0POmCSqM","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/Serendipity_Search01_cropped.jpg?itok=BBne4_wO","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/Serendipity_Search01_cropped.jpg?itok=UEkJV4wn"},"node_path_alias":"projects\/library-project"},{"nid":"91","access":true,"node":{"vid":"91","uid":"3","title":"CitiBike Rebalancing Study","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"91","type":"project","language":"und","created":"1408732992","changed":"1461620710","tnid":"0","translate":"0","revision_timestamp":"1461620710","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003ETo study this problem we have created a series of visualizations which should serve as a starting point for further analysis.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\nFirst, we visualized the average activity for weekdays in October 2013.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Hour_Activity_03.gif?itok=W6APCrA1\u0022 \/\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECiti Bike Hourly Activity\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the above image shows, the activity hotspots remain pretty constant throughout the day, specially between 10am and midnight, with most of the activity centered around Union Square. In addition, we also see how both Grand Central and Penn Station become strong hotspots during peak hours. Of interest, though, is the sudden shift that occurs around 5am, with the activity hotspots switching from the East Village\/Lower East Side area, to Grand Central and Penn Station. This is probably due to the fact that during most of the night, compared to other areas, the stations in the East Village\/Lower East Side continue to have high activity, but during most of the day, and specially during peak hours, they are not as active as the stations around Union Square or Grand Central and Penn Station.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Hour_by_Hour_03.gif?itok=bgcjZrNr\u0022 \/\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECiti Bike Hourly Balance\u003C\/p\u003E\r\n\r\n\u003Cp\u003ENext, we visualized overall patterns of origins and destinations. As the above image shows, the big hotspots of imbalance are mostly located around the East Village, Lower East Side, Midtown East and West and Union Square. However, the variation of these hotspots throughout the day is pretty extensive and it\u0027s very difficult to detect smooth transitions apart from peak hours. Of note are a couple of big \u0022jumps\u0022 between origins and destinations, one of them around 1-2pm on the East Village\/Lower East Side and another one around 5am also in the same area.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Imbalance_Matrix-01-01.jpg?itok=ZHDmxxLK\u0022 \/\u003EWe also created a series of imbalance matrices (by hour of day) for every single station on the system. Again, using the same data as the animations above, this first matrix (Citi Bike Hourly Balance) clearly shows how the big imbalances happen (as expected) mainly between 6am and 10am (morning peak hour) and between 4pm and 8pm (evening peak hour). However, there are some stations whose imbalance starts and ends earlier, like 8th Ave. \u0026amp; 31st Street, W 33rd Street \u0026amp; 7th Ave. and W 41st Street \u0026amp; 8th Ave. (more origins than destinations starting around 2pm). In addition, this matrix also shows that not all of the stations suffer from big imbalances during peak hours. Indeed, stations like E 31st Street \u0026amp; 3rd Ave or E 32nd Street \u0026amp; Park Ave. barely have any imbalances during peak hours. You can download a high-res version of this matrix\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/Imbalance_Matrix_SIDL.pdf\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Activity_Matrix_Normalized-01.png?itok=llHCPnL-\u0022 \/\u003EImbalance matrix normalized by hourly activity\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFurthermore, as not all of the stations have the same level of activity, we produced two more matrices, both showing station imbalance, but this time comparing it to the overall hourly activity for each station. The first one (Imabalance matrix normalized by hourly activity) shows the imbalance as a percentage of the activity for that hour. Hence, the great imbalances appearing late at night, when there are fewer trips and there\u0027s a higher chance of having all of them as origins or destinations. However, it is still interesting to see that there are higher imbalances during the morning peak hour than during the evening one, as a percentage of the overall activity.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Activity_Matrix_Composite-01.png?itok=jT30Xd-t\u0022 \/\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EActivity and imbalance matrix\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe second matrix (Activity and imbalance matrix) shows the imbalance as colors and the overall activity as brightness, so we can see how in the hours between the peak times there\u0027s still a lot of activity but it is mostly well balanced. In addition, we can see how late at night (imbalanced as it may be) there\u0027s still very little activity. Finally, we can also see some outlier stations with a lot of activity and still pretty imbalanced: for example, in the morning 8th avenue and 31st street, 17th street and Broadway, Lafayette and 8th street, and Pershing Square (north); and in the evening 8th avenue and 31st street, 41st street and 8th avenue and again Pershing Square (north). You can download both of these matrices at high res\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/Activity_Matrix_Normalized.pdf\u0022\u003Ehere\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/Activity_Matrix_Composite.pdf\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/October_Peak_Hour_Weekday_AM-01_0.png?itok=XZNdjd3-\u0022 \/\u003EImbalance Hotspots - A.M. Peak Hour\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFinally, we have created hotspot maps for both the AM and the PM peak hours. As you can see from the maps below, Citi Bike activity closely matches what we would expect to see in New York: the AM peak hour map shows people leaving residential neighborhoods (Lower East Side, East Village, Chelsea and Hells Kitchen) and arriving at Midtown East and the Financial District, and the PM peak hour map shows the reverse. To note, however, is the fact that these two maps are not completely symmetrical, meaning that there are certain trips that happen in the morning which do not have their counterpart in the evening, and vice versa. Also, there are some stations that while being inside imbalance hotspots do not show that large of an imbalance. These stations have been outlined on the maps and should be further studied. You can view high-res versions of these maps here:\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/October_Peak_Hour_Weekday_AM.pdf\u0022\u003EAM\u003C\/a\u003E\u0026nbsp;and\u0026nbsp;\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/October_Peak_Hour_Weekday_PM.pdf\u0022\u003EPM\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/October_Peak_Hour_Weekday_PM-01.png?itok=dfX8Nv8o\u0022 \/\u003EImbalance Hotspots - P.M. Peak Hour\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ETo study this problem we have created a series of visualizations which should serve as a starting point for further analysis.\u003C\/p\u003E\n\u003Cp\u003EFirst, we visualized the average activity for weekdays in October 2013.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Hour_Activity_03.gif?itok=W6APCrA1\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003ECiti Bike Hourly Activity\u003C\/p\u003E\n\u003Cp\u003EAs the above image shows, the activity hotspots remain pretty constant throughout the day, specially between 10am and midnight, with most of the activity centered around Union Square. In addition, we also see how both Grand Central and Penn Station become strong hotspots during peak hours. Of interest, though, is the sudden shift that occurs around 5am, with the activity hotspots switching from the East Village\/Lower East Side area, to Grand Central and Penn Station. This is probably due to the fact that during most of the night, compared to other areas, the stations in the East Village\/Lower East Side continue to have high activity, but during most of the day, and specially during peak hours, they are not as active as the stations around Union Square or Grand Central and Penn Station.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Hour_by_Hour_03.gif?itok=bgcjZrNr\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003ECiti Bike Hourly Balance\u003C\/p\u003E\n\u003Cp\u003ENext, we visualized overall patterns of origins and destinations. As the above image shows, the big hotspots of imbalance are mostly located around the East Village, Lower East Side, Midtown East and West and Union Square. However, the variation of these hotspots throughout the day is pretty extensive and it\u0027s very difficult to detect smooth transitions apart from peak hours. Of note are a couple of big \u0022jumps\u0022 between origins and destinations, one of them around 1-2pm on the East Village\/Lower East Side and another one around 5am also in the same area.\u003C\/p\u003E\n\u003Cp\u003E\u00a0\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Imbalance_Matrix-01-01.jpg?itok=ZHDmxxLK\u0022 \/\u003EWe also created a series of imbalance matrices (by hour of day) for every single station on the system. Again, using the same data as the animations above, this first matrix (Citi Bike Hourly Balance) clearly shows how the big imbalances happen (as expected) mainly between 6am and 10am (morning peak hour) and between 4pm and 8pm (evening peak hour). However, there are some stations whose imbalance starts and ends earlier, like 8th Ave. \u0026amp; 31st Street, W 33rd Street \u0026amp; 7th Ave. and W 41st Street \u0026amp; 8th Ave. (more origins than destinations starting around 2pm). In addition, this matrix also shows that not all of the stations suffer from big imbalances during peak hours. Indeed, stations like E 31st Street \u0026amp; 3rd Ave or E 32nd Street \u0026amp; Park Ave. barely have any imbalances during peak hours. You can download a high-res version of this matrix\u00a0\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/Imbalance_Matrix_SIDL.pdf\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Activity_Matrix_Normalized-01.png?itok=llHCPnL-\u0022 \/\u003EImbalance matrix normalized by hourly activity\u003C\/p\u003E\n\u003Cp\u003EFurthermore, as not all of the stations have the same level of activity, we produced two more matrices, both showing station imbalance, but this time comparing it to the overall hourly activity for each station. The first one (Imabalance matrix normalized by hourly activity) shows the imbalance as a percentage of the activity for that hour. Hence, the great imbalances appearing late at night, when there are fewer trips and there\u0027s a higher chance of having all of them as origins or destinations. However, it is still interesting to see that there are higher imbalances during the morning peak hour than during the evening one, as a percentage of the overall activity.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/Activity_Matrix_Composite-01.png?itok=jT30Xd-t\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EActivity and imbalance matrix\u003C\/p\u003E\n\u003Cp\u003EThe second matrix (Activity and imbalance matrix) shows the imbalance as colors and the overall activity as brightness, so we can see how in the hours between the peak times there\u0027s still a lot of activity but it is mostly well balanced. In addition, we can see how late at night (imbalanced as it may be) there\u0027s still very little activity. Finally, we can also see some outlier stations with a lot of activity and still pretty imbalanced: for example, in the morning 8th avenue and 31st street, 17th street and Broadway, Lafayette and 8th street, and Pershing Square (north); and in the evening 8th avenue and 31st street, 41st street and 8th avenue and again Pershing Square (north). You can download both of these matrices at high res\u00a0\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/Activity_Matrix_Normalized.pdf\u0022\u003Ehere\u003C\/a\u003E\u00a0and\u00a0\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/Activity_Matrix_Composite.pdf\u0022\u003Ehere\u003C\/a\u003E.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/October_Peak_Hour_Weekday_AM-01_0.png?itok=XZNdjd3-\u0022 \/\u003EImbalance Hotspots - A.M. Peak Hour\u003C\/p\u003E\n\u003Cp\u003EFinally, we have created hotspot maps for both the AM and the PM peak hours. As you can see from the maps below, Citi Bike activity closely matches what we would expect to see in New York: the AM peak hour map shows people leaving residential neighborhoods (Lower East Side, East Village, Chelsea and Hells Kitchen) and arriving at Midtown East and the Financial District, and the PM peak hour map shows the reverse. To note, however, is the fact that these two maps are not completely symmetrical, meaning that there are certain trips that happen in the morning which do not have their counterpart in the evening, and vice versa. Also, there are some stations that while being inside imbalance hotspots do not show that large of an imbalance. These stations have been outlined on the maps and should be further studied. You can view high-res versions of these maps here:\u00a0\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/October_Peak_Hour_Weekday_AM.pdf\u0022\u003EAM\u003C\/a\u003E\u00a0and\u00a0\u003Ca href=\u0022https:\/\/dl.dropboxusercontent.com\/u\/7595728\/October_Peak_Hour_Weekday_PM.pdf\u0022\u003EPM\u003C\/a\u003E.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/October_Peak_Hour_Weekday_PM-01.png?itok=dfX8Nv8o\u0022 \/\u003EImbalance Hotspots - P.M. Peak Hour\u003C\/p\u003E\n\u003Cp\u003E\u00a0\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"3"},{"tid":"2"}]},"field_project_tags":{"und":[{"tid":"58"},{"tid":"4"},{"tid":"5"},{"tid":"27"},{"tid":"24"},{"tid":"59"}]},"field_project_images2":{"und":[{"fid":"604","uid":"39","filename":"Activity_Matrix_Normalized-01.png","uri":"public:\/\/Activity_Matrix_Normalized-01_1.png","filemime":"image\/png","filesize":"312427","status":"1","timestamp":"1460495297","type":"undefined","metadata":[],"alt":"Close up of hourly balance matrix","title":"","width":"1396","height":"2292"},{"fid":"605","uid":"39","filename":"CSR_CitiBike.png","uri":"public:\/\/CSR_CitiBike_2.png","filemime":"image\/png","filesize":"7364134","status":"1","timestamp":"1460495297","type":"undefined","metadata":[],"alt":"Close up of stations balance chart","title":"","width":"2806","height":"1618"}]},"field_software_tags":{"und":[{"tid":"12"},{"tid":"10"}]},"field_additional_people":{"und":[{"value":"\u003Cp\u003EProject director, data analysis and visualization: \u003Ca href=\u0022mailto:jfs2118@columbia.edu\u0022\u003EJuan Francisco Saldarriaga\u003C\/a\u003E\u003C\/p\u003E\r\n","format":null,"safe_value":"\u0026lt;p\u0026gt;Project director, data analysis and visualization: \u0026lt;a href=\u0026quot;mailto:jfs2118@columbia.edu\u0026quot;\u0026gt;Juan Francisco Saldarriaga\u0026lt;\/a\u0026gt;\u0026lt;\/p\u0026gt;\r\n"}]},"field_project_files":{"und":[{"fid":"243","uid":"3","filename":"October_Peak_Hour_Weekday_AM.pdf","uri":"public:\/\/October_Peak_Hour_Weekday_AM.pdf","filemime":"application\/pdf","filesize":"1826833","status":"1","timestamp":"1408732992","type":"default","metadata":[],"display":"1","description":""},{"fid":"244","uid":"3","filename":"October_Peak_Hour_Weekday_PM.pdf","uri":"public:\/\/October_Peak_Hour_Weekday_PM.pdf","filemime":"application\/pdf","filesize":"1802638","status":"1","timestamp":"1408732992","type":"default","metadata":[],"display":"1","description":""},{"fid":"245","uid":"3","filename":"Activity_Matrix_Composite.pdf","uri":"public:\/\/Activity_Matrix_Composite.pdf","filemime":"application\/pdf","filesize":"3477880","status":"1","timestamp":"1408732992","type":"default","metadata":[],"display":"1","description":""},{"fid":"246","uid":"3","filename":"Activity_Matrix_Normalized.pdf","uri":"public:\/\/Activity_Matrix_Normalized.pdf","filemime":"application\/pdf","filesize":"3392161","status":"1","timestamp":"1408732992","type":"default","metadata":[],"display":"1","description":""},{"fid":"247","uid":"3","filename":"Imbalance_Matrix.pdf","uri":"public:\/\/Imbalance_Matrix.pdf","filemime":"application\/pdf","filesize":"5624523","status":"1","timestamp":"1408732992","type":"default","metadata":[],"display":"1","description":""}]},"field_project_contact":{"und":[{"email":"jfs2118@columbia.edu"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EAs has been recently documented by the press, one of the major challenges that Citi Bike is facing is the rebalancing of their stations. As origins and destinations of Citi Bike trips are not necessarily symmetrical during the day, Citi Bike has been forced to constantly move bikes around the city, taking them from full stations and delivering them to empty ones. This problem is both financially expensive and frustrating for Citi Bike users: many people complain about either not finding bikes at their stations of origin or not finding empty spots when they arrive at their final destinations.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EAs has been recently documented by the press, one of the major challenges that Citi Bike is facing is the rebalancing of their stations. As origins and destinations of Citi Bike trips are not necessarily symmetrical during the day, Citi Bike has been forced to constantly move bikes around the city, taking them from full stations and delivering them to empty ones. This problem is both financially expensive and frustrating for Citi Bike users: many people complain about either not finding bikes at their stations of origin or not finding empty spots when they arrive at their final destinations.\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2014-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"268","uid":"1","filename":"citibikes.png","uri":"public:\/\/citibikes.png","filemime":"image\/png","filesize":"360818","status":"1","timestamp":"1412362719","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"","title":"","width":"773","height":"527"}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003EAs has been recently documented by the press, one of the major challenges that Citi Bike is facing is the rebalancing of their stations. 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This problem is both financially expensive and frustrating for Citi Bike users: many people complain about either not finding bikes at their stations of origin or not finding empty spots when they arrive at their final destinations.\u003C\/p\u003E\n"}]},"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"79"}]},"field_themes":{"und":[{"tid":"96"},{"tid":"93"},{"tid":"88"},{"tid":"82"}]},"field_methods":{"und":[{"tid":"105"},{"tid":"103"},{"tid":"75"}]},"field_one_sentence_description":{"und":[{"value":"An investigation into ways to rebalance CitiBike stations throughout New York City. ","format":null,"safe_value":"An investigation into ways to rebalance CitiBike stations throughout New York City. 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The aim is to keep politically unacceptable or \u0022sensitive\u0022 content (words and articles about the Tiananmen Square massacre, for example) invisible to Chinese Internet users. Twitter and Facebook are largely blocked, as are many news outlets and human rights web sites; web searches are seriously curtailed; sensitive words are blocked; and online postings and other content is routinely removed, blog posting removed. For many Chinese users who wish to access blocked web sites, the only option is a Virtual Private Network (VPN), a virtual leap over the Great Firewall.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe examined a different strategy that has emerged in Weibo blogging, where users can insert images directly into their postings, without links. Images are much more difficult for automated search programs to analyze, which allows image-based content to spread more widely before it is detected and removed. Taking advantage of this, some users now turning writing into images, taking screenshots of their own and others\u0027 controversial posts before they\u0027re removed, then posting and re\u2013posting them. Visualized here are many such deleted posts from September 8th to November 13th, in 2013.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch for this investigation was conducted in collaboration with a team at the Spatial Information Design Lab and the Brown Institute for Media Innovation, in partnership with Pen American Center and ProPublica. The ProPublica article, called China\u0027s Memory Hole: The Images Erased From Sina Weibo\u0022 uses a similar methodology to ours.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch for this investigation was conducted in collaboration with a team at the Spatial Information Design Lab and the Brown Institute for Media Innovation, in partnership with Pen American Center and ProPublica.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EUse of the Internet in China is policed \u2014 watched over, censored, and punished \u2014 by a human and technological program that has been nicknamed \u0027The Great Firewall\u0027. The aim is to keep politically unacceptable or \u0022sensitive\u0022 content (words and articles about the Tiananmen Square massacre, for example) invisible to Chinese Internet users. Twitter and Facebook are largely blocked, as are many news outlets and human rights web sites; web searches are seriously curtailed; sensitive words are blocked; and online postings and other content is routinely removed, blog posting removed. For many Chinese users who wish to access blocked web sites, the only option is a Virtual Private Network (VPN), a virtual leap over the Great Firewall.\u003C\/p\u003E\n\u003Cp\u003EWe examined a different strategy that has emerged in Weibo blogging, where users can insert images directly into their postings, without links. Images are much more difficult for automated search programs to analyze, which allows image-based content to spread more widely before it is detected and removed. Taking advantage of this, some users now turning writing into images, taking screenshots of their own and others\u0027 controversial posts before they\u0027re removed, then posting and re\u2013posting them. Visualized here are many such deleted posts from September 8th to November 13th, in 2013.\u003C\/p\u003E\n\u003Cp\u003EResearch for this investigation was conducted in collaboration with a team at the Spatial Information Design Lab and the Brown Institute for Media Innovation, in partnership with Pen American Center and ProPublica. 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It examines some innovative strategies employed by users of Weibo, a Twitter\u2013like micro\u2013blogging platform, in order to avoid government censorship bloggers post images as text. Images are much more difficult for automated search programs to analyze, which allows image-based content to spread more widely before it is detected and removed. Taking advantage of this, some users now turning writing into images, taking screenshots of their own and others\u0027 controversial posts before they\u0027re removed, then posting and re\u2013posting them. The project visualizes Weibo posts that were posted and deleted between September 8th to November 13th, in 2013.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThis project visualizes a relatively new phenomenon: online free expression in China. It examines some innovative strategies employed by users of Weibo, a Twitter\u2013like micro\u2013blogging platform, in order to avoid government censorship bloggers post images as text. Images are much more difficult for automated search programs to analyze, which allows image-based content to spread more widely before it is detected and removed. Taking advantage of this, some users now turning writing into images, taking screenshots of their own and others\u0027 controversial posts before they\u0027re removed, then posting and re\u2013posting them. 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More than 300 million Metric Tons of energy are shipped in and out of the United States each year, in 60,000 shipments.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nThis project presents the ports and paths of the 2.7 billion Metric Tons of energy shipped through more than 90 US ports from 2002 - 2012.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EUsing data assembled by Thomson Reuters,\u0026nbsp;\u003Cem\u003EPort to Port\u003C\/em\u003E\u0026nbsp;maps global oil shipping routes as well as other forms of energy navigating ocean territories to and from the United States.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003E\u003Cem\u003EA visual exploration of energy shipping routes around the world.\u003C\/em\u003E\u003C\/p\u003E\n\u003Cp\u003E90% of all goods worldwide are moved by ship, but shipping is mostly invisible. More than 300 million Metric Tons of energy are shipped in and out of the United States each year, in 60,000 shipments.\u003C\/p\u003E\n\u003Cp\u003EThis project presents the ports and paths of the 2.7 billion Metric Tons of energy shipped through more than 90 US ports from 2002 - 2012.\u00a0\u003C\/p\u003E\n\u003Cp\u003EUsing data assembled by Thomson Reuters,\u00a0\u003Cem\u003EPort to Port\u003C\/em\u003E\u00a0maps global oil shipping routes as well as other forms of energy navigating ocean territories to and from the United States.\u003C\/p\u003E\n"}]},"field_publication_links":{"und":[{"url":"http:\/\/spatialinformationdesignlab.org\/port_to_port\/","title":"Port to Port Website","attributes":[],"original_title":"Port to Port Website","original_url":"http:\/\/spatialinformationdesignlab.org\/port_to_port\/"}]},"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"79"}]},"field_themes":{"und":[{"tid":"85"}]},"field_methods":{"und":[{"tid":"105"}]},"field_one_sentence_description":{"und":[{"value":"Using D3 as an interactive web platform we designed a map interface that is scaled globally while embedded with local stories about energy movement from port to port. ","format":null,"safe_value":"Using D3 as an interactive web platform we designed a map interface that is scaled globally while embedded with local stories about energy movement from port to port. "}]},"field_project_team_v2":{"und":[{"value":"14","revision_id":"14"},{"value":"15","revision_id":"15"},{"value":"113","revision_id":"113"},{"value":"88","revision_id":"88"}]},"field_inline_images":{"und":[{"fid":"524","uid":"39","filename":"SIDL_Port_to_Port_Main.jpg","uri":"public:\/\/SIDL_Port_to_Port_Main.jpg","filemime":"image\/jpeg","filesize":"866389","status":"1","timestamp":"1459197538","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"","title":"","width":"2713","height":"1526"},{"fid":"525","uid":"39","filename":"SIDL_Port_to_Port_Port_Imports.jpg","uri":"public:\/\/SIDL_Port_to_Port_Port_Imports.jpg","filemime":"image\/jpeg","filesize":"759012","status":"1","timestamp":"1459197921","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"","title":"","width":"2713","height":"1526"},{"fid":"526","uid":"39","filename":"SIDL_Port_to_Port_Paths_Imports.jpg","uri":"public:\/\/SIDL_Port_to_Port_Paths_Imports.jpg","filemime":"image\/jpeg","filesize":"829060","status":"1","timestamp":"1459197921","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"","title":"","width":"2713","height":"1526"}]},"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":{"und":[{"nid":"2"},{"nid":"119"},{"nid":"11"},{"nid":"110"},{"nid":"115"}]},"field_related_publications":{"und":[{"nid":"84"}]},"field_project_website_link":{"und":[{"url":"http:\/\/spatialinformationdesignlab.org\/port_to_port\/","title":null,"attributes":[],"original_title":null,"original_url":"http:\/\/spatialinformationdesignlab.org\/port_to_port\/"}]},"field_dashboard_sort_date":{"und":[{"value":"2014-08-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/port-port","name":"admin","picture":"0","data":"a:6:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;s:7:\u0022overlay\u0022;i:1;}","caption":"Port to Port","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/Port_to_Port01_cropped.jpg?itok=37GYGaZ1\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"Advanced Data Visualization","sort_date":"2014","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/Port_to_Port01_cropped.jpg?itok=mY83ivwJ","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/Port_to_Port01_cropped.jpg?itok=LM38PlI8","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/Port_to_Port01_cropped.jpg?itok=xiJTZLDT"},"node_path_alias":"projects\/port-port"},{"nid":"155","access":true,"node":{"vid":"155","uid":"39","title":"Conflict Urbanism: Aleppo","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"155","type":"project","language":"und","created":"1457638351","changed":"1578521390","tnid":"0","translate":"0","revision_timestamp":"1578521390","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003E\u003Cem\u003EConflict Urbanism: Aleppo\u003C\/em\u003E is the first in a series of interrelated projects as part of our multi-year year research initiative on \u003Cem\u003EConflict Urbanism\u003C\/em\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn January 2016 we launched the \u003Cem\u003EConflict Urbanism: Aleppo\u003C\/em\u003E \u003Ca href=\u0022http:\/\/aleppo.c4sr.columbia.edu\/map\/index.html\u0022\u003Einteractive map\u003C\/a\u003E, amidst intense violence in Aleppo more than five years after the start of the civil war in Syria. The map served as a research tool for the \u003Ca href=\u0022http:\/\/c4sr.columbia.edu\/courses\/conflict-urbanism-aleppo\u0022\u003Espring 2016 Conflict Urbanism: Aleppo seminar\u003C\/a\u003E and as a new window into the conflict for the world at large. The map combines layers of high-resolution satellite images together with data gathered by human rights organizations and the UN to show the historic city from 2012 to the present. Using the logic of a typical geographic information system (GIS) map, the \u003Cem\u003EConflict Urbanism: Aleppo\u003C\/em\u003E project overlaps these layers, accruing two kinds of evidence: evidence about the physical destruction of the city and evidence about how urban warfare is tracked and monitored from a distance.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe are continuing to release additional \u003Ca href=\u0022http:\/\/aleppo.c4sr.columbia.edu\u0022\u003Ecase studies\u003C\/a\u003E that shed light on the effects of the conflict on the urban fabric of Aleppo. We have combined several experimental methods in order to look at the conflict and the urban context of Aleppo in new ways: by cross referencing YouTube videos we have geocoded with bi-weekly change maps we created using low resolution and free Landsat satellite imagery we have been able to identify intense areas of damage on high resolution satellite images that have gone undocumented by the international human rights community, which uses other methods to look at these same high resolution satellite images.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project has been exhibited at the \u003Ca href=\u0022http:\/\/arewehuman.iksv.org\u0022\u003E2016 Istanbul Design Biennale\u003C\/a\u003E (October 22- November 20, 2016) and has been the subject of several invited lectures and articles including in the \u003Ca href=\u0022http:\/\/www.harvarddesignmagazine.org\/issues\/42\u0022\u003EHarvard Graduate School of Design Magazine\u003C\/a\u003E, Architecture Design, and at the Unknown Unknowables conference in Copenhagen, and a Curating Data conference at Harvard.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003E\u003Cem\u003EConflict Urbanism: Aleppo\u003C\/em\u003E is the first in a series of interrelated projects as part of our multi-year year research initiative on \u003Cem\u003EConflict Urbanism\u003C\/em\u003E.\u003C\/p\u003E\n\u003Cp\u003EIn January 2016 we launched the \u003Cem\u003EConflict Urbanism: Aleppo\u003C\/em\u003E \u003Ca href=\u0022http:\/\/aleppo.c4sr.columbia.edu\/map\/index.html\u0022\u003Einteractive map\u003C\/a\u003E, amidst intense violence in Aleppo more than five years after the start of the civil war in Syria. The map served as a research tool for the \u003Ca href=\u0022http:\/\/c4sr.columbia.edu\/courses\/conflict-urbanism-aleppo\u0022\u003Espring 2016 Conflict Urbanism: Aleppo seminar\u003C\/a\u003E and as a new window into the conflict for the world at large. The map combines layers of high-resolution satellite images together with data gathered by human rights organizations and the UN to show the historic city from 2012 to the present. Using the logic of a typical geographic information system (GIS) map, the \u003Cem\u003EConflict Urbanism: Aleppo\u003C\/em\u003E project overlaps these layers, accruing two kinds of evidence: evidence about the physical destruction of the city and evidence about how urban warfare is tracked and monitored from a distance.\u003C\/p\u003E\n\u003Cp\u003EWe are continuing to release additional \u003Ca href=\u0022http:\/\/aleppo.c4sr.columbia.edu\u0022\u003Ecase studies\u003C\/a\u003E that shed light on the effects of the conflict on the urban fabric of Aleppo. We have combined several experimental methods in order to look at the conflict and the urban context of Aleppo in new ways: by cross referencing YouTube videos we have geocoded with bi-weekly change maps we created using low resolution and free Landsat satellite imagery we have been able to identify intense areas of damage on high resolution satellite images that have gone undocumented by the international human rights community, which uses other methods to look at these same high resolution satellite images.\u00a0\u003C\/p\u003E\n\u003Cp\u003EThe project has been exhibited at the \u003Ca href=\u0022http:\/\/arewehuman.iksv.org\u0022\u003E2016 Istanbul Design Biennale\u003C\/a\u003E (October 22- November 20, 2016) and has been the subject of several invited lectures and articles including in the \u003Ca href=\u0022http:\/\/www.harvarddesignmagazine.org\/issues\/42\u0022\u003EHarvard Graduate School of Design Magazine\u003C\/a\u003E, Architecture Design, and at the Unknown Unknowables conference in Copenhagen, and a Curating Data conference at Harvard.\u00a0\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"2"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"722","uid":"39","filename":"07_Aleppo_June2016.png","uri":"public:\/\/07_Aleppo_June2016.png","filemime":"image\/png","filesize":"2778536","status":"1","timestamp":"1477936717","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Mapping pixel value change using data from the Landsat Satellite","title":"","width":"5162","height":"3542"},{"fid":"460","uid":"39","filename":"CSR_AleppoInterface.png","uri":"public:\/\/CSR_AleppoInterface_0.png","filemime":"image\/png","filesize":"1074128","status":"1","timestamp":"1457640197","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"The Conflict Urbanism: Aleppo interface","title":"","width":"1590","height":"941"},{"fid":"453","uid":"39","filename":"CSR_Aleppo_04.jpg","uri":"public:\/\/CSR_Aleppo_04_0.jpg","filemime":"image\/jpeg","filesize":"2783822","status":"1","timestamp":"1457638351","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Experimental rubble detection method using machine learning","title":"","width":"1600","height":"1200"},{"fid":"465","uid":"39","filename":"CSR_AleppoAerial.png","uri":"public:\/\/CSR_AleppoAerial.png","filemime":"image\/png","filesize":"7700029","status":"1","timestamp":"1457640197","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Aleppo 2014","title":"","width":"2820","height":"1836"},{"fid":"467","uid":"39","filename":"CSR_BeforeAfter.png","uri":"public:\/\/CSR_BeforeAfter_0.png","filemime":"image\/png","filesize":"2472540","status":"1","timestamp":"1457640300","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Damage in the Karm aj-Jabal neighborhood identified by Human Rights Watch","title":"","width":"2330","height":"1150"}]},"field_software_tags":[],"field_additional_people":{"und":[{"value":"Laura Kurgan, Madeeha Merchant, Jamon Van Der Hoek, Dare Brawley, Grga Basic, Mike Howard","format":null,"safe_value":"Laura Kurgan, Madeeha Merchant, Jamon Van Der Hoek, Dare Brawley, Grga Basic, Mike Howard"}]},"field_project_files":[],"field_project_contact":{"und":[{"email":"info@c4sr.columbia.edu"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EConflict Urbanism: Aleppo is a call for inquiry and a call to action. It is an open-source, interactive, data-rich map of the city of Aleppo, at the neighborhood scale. Users can navigate the city, with the aid of high resolution satellite imagery from before and during the current civil war. It is also an invitation to students and other collaborators to record and narrate urban damage in Aleppo \u2014 at the cultural, infrastructural, or neighborhood scale \u2014 and to present that research in case studies which will be added to the website over time.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EConflict Urbanism: Aleppo is a call for inquiry and a call to action. It is an open-source, interactive, data-rich map of the city of Aleppo, at the neighborhood scale. Users can navigate the city, with the aid of high resolution satellite imagery from before and during the current civil war. It is also an invitation to students and other collaborators to record and narrate urban damage in Aleppo \u2014 at the cultural, infrastructural, or neighborhood scale \u2014 and to present that research in case studies which will be added to the website over time.\u00a0\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2016-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"452","uid":"39","filename":"CSR_Aleppo_04.jpg","uri":"public:\/\/CSR_Aleppo_04.jpg","filemime":"image\/jpeg","filesize":"2783822","status":"1","timestamp":"1457638351","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"","title":"","width":"1600","height":"1200"}]},"field_intro_text":[],"field_publication_links":{"und":[{"url":"http:\/\/aleppo.c4sr.columbia.edu\/","title":"Conflict Urbanism Aleppo 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specific health, demographic and environmental metrics.\u00a0\u003C\/p\u003E\n\u003Cp\u003EWe used three types of measurements:\u003C\/p\u003E\n\u003Cul\u003E\u003Cli\u003EEnvironmental, which include tree and grass coverage, pollution levels (PM 2.5) and walking distance to recreational spaces measuring 6 acres or more.\u003C\/li\u003E\n\u003Cli\u003EHealth, including asthma rates, self-reported exercise in the previous 30 days, and overweight percentages.\u003C\/li\u003E\n\u003Cli\u003EDemographics, which include percentage of the population living below the poverty line, percentage of the population younger than 18 and 65 or older, and percentage of the population having attained only high-school or less.\u003C\/li\u003E\n\u003C\/ul\u003E\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/150429_Pollution_Large_0.jpg?itok=zXBlq9YI\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EPollution levels (P.M. 2.5)\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/150429_GreenSpace_Large_1.jpg?itok=pPMUG0nl\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EPercentage of grass and tree coverage\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/150429_Distance_Large_0.jpg?itok=gRfcvdTm\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EWalking distance to large open spaces\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/150429_Asthma_Large_0.jpg?itok=LdXBNvzn\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EPercentage of people who have had asthma\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/150429_Education_Large_0.jpg?itok=3yKyJDBl\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EPercentage of the population with only high-school level education or less\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"3"},{"tid":"2"}]},"field_project_tags":{"und":[{"tid":"4"},{"tid":"27"}]},"field_project_images2":{"und":[{"fid":"319","uid":"3","filename":"150429_HighRes_Distance_No_Connector.jpg","uri":"public:\/\/150429_HighRes_Distance_No_Connector.jpg","filemime":"image\/jpeg","filesize":"969690","status":"1","timestamp":"1437687646","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Current walking distance to large open spaces","title":"","width":"800","height":"800"},{"fid":"320","uid":"3","filename":"150429_HighRes_Poverty.jpg","uri":"public:\/\/150429_HighRes_Poverty.jpg","filemime":"image\/jpeg","filesize":"853270","status":"1","timestamp":"1437687646","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Percentage of people below the poverty line","title":"","width":"800","height":"800"}]},"field_software_tags":{"und":[{"tid":"12"},{"tid":"74"}]},"field_additional_people":{"und":[{"value":"\u003Cp\u003EPrincipal Investigator: Laura Kurgan\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProject Lead and Data Visualization: Juan Francisco Saldarriaga\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch Assistant: Jonathan Izen\u003C\/p\u003E\r\n\r\n\u003Cp\u003EFunding: \u0026nbsp;Knight Foundation\u003C\/p\u003E\r\n","format":null,"safe_value":"\u0026lt;p\u0026gt;Principal Investigator: Laura Kurgan\u0026lt;\/p\u0026gt;\r\n\r\n\u0026lt;p\u0026gt;Project Lead and Data Visualization: Juan Francisco Saldarriaga\u0026lt;\/p\u0026gt;\r\n\r\n\u0026lt;p\u0026gt;Research Assistant: Jonathan Izen\u0026lt;\/p\u0026gt;\r\n\r\n\u0026lt;p\u0026gt;Funding: \u0026amp;nbsp;Knight Foundation\u0026lt;\/p\u0026gt;\r\n"}]},"field_project_files":[],"field_project_contact":{"und":[{"email":"info@spatialinformationdesignlab.org"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"0"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EThis project is an analysis of New York City neighborhoods according to specific health, demographic and environmental metrics. We worked with the\u0026nbsp;New York Restoration Project (\u003Ca href=\u0022https:\/\/www.nyrp.org\/about\/programs\/the-haven-project\/\u0022\u003ENYRP\u003C\/a\u003E), which is developing a master plan to renovate a network of open spaces in Mott Haven and Port Morris in the South Bronx. Over the next several years, NYRP will fund the renovations and build them. As a first step, we will capture baseline health data and quality of life indicators which we will track as the project progresses.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThis project is an analysis of New York City neighborhoods according to specific health, demographic and environmental metrics. We worked with the\u00a0New York Restoration Project (\u003Ca href=\u0022https:\/\/www.nyrp.org\/about\/programs\/the-haven-project\/\u0022\u003ENYRP\u003C\/a\u003E), which is developing a master plan to renovate a network of open spaces in Mott Haven and Port Morris in the South Bronx. Over the next several years, NYRP will fund the renovations and build them. As a first step, we will capture baseline health data and quality of life indicators which we will track as the project progresses.\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2015-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"974","uid":"1","filename":"bluedots.png","uri":"public:\/\/bluedots.png","filemime":"image\/png","filesize":"2364439","status":"1","timestamp":"1552996706","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1564,"width":1563},"height":"1564","width":"1563","alt":"","title":""}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003ENew York Restoration Project (\u003Ca href=\u0022https:\/\/www.nyrp.org\/about\/programs\/the-haven-project\/\u0022\u003ENYRP\u003C\/a\u003E) is developing a master plan to renovate a network of open spaces in Mott Haven and Port Morris in the South Bronx. Over the next several years, NYRP will fund the renovations and build them. The project aims to demonstrate measurable health and social outcomes resulting from an improved physical environment at the neighborhood scale. For example, one hypothesis is that by improving access to Randall\u2019s Island, residents\u2019 physical activity will increase with a correlative decrease in health care costs. As a first step, we will capture baseline health data and quality of life indicators which we will track as the project progresses.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ENew York Restoration Project (\u003Ca href=\u0022https:\/\/www.nyrp.org\/about\/programs\/the-haven-project\/\u0022\u003ENYRP\u003C\/a\u003E) is developing a master plan to renovate a network of open spaces in Mott Haven and Port Morris in the South Bronx. Over the next several years, NYRP will fund the renovations and build them. The project aims to demonstrate measurable health and social outcomes resulting from an improved physical environment at the neighborhood scale. For example, one hypothesis is that by improving access to Randall\u2019s Island, residents\u2019 physical activity will increase with a correlative decrease in health care costs. As a first step, we will capture baseline health data and quality of life indicators which we will track as the project progresses.\u003C\/p\u003E\n"}]},"field_publication_links":{"und":[{"url":"http:\/\/spatialinformationdesignlab.org\/project_sites\/the-haven-project\/","title":"The Haven Project - Metrics Website","attributes":[],"original_title":"The Haven Project - Metrics Website","original_url":"http:\/\/spatialinformationdesignlab.org\/project_sites\/the-haven-project\/"}]},"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"79"}]},"field_themes":{"und":[{"tid":"81"},{"tid":"84"},{"tid":"93"},{"tid":"88"},{"tid":"82"}]},"field_methods":{"und":[{"tid":"103"},{"tid":"101"},{"tid":"108"}]},"field_one_sentence_description":{"und":[{"value":"Analysis of New York City neighborhoods according to specific health, demographic and environmental metrics.","format":null,"safe_value":"Analysis of New York City neighborhoods according to specific health, demographic and environmental metrics."}]},"field_project_team_v2":{"und":[{"value":"90","revision_id":"90"},{"value":"91","revision_id":"91"},{"value":"92","revision_id":"92"}]},"field_inline_images":{"und":[{"fid":"567","uid":"39","filename":"150429_Pollution_Large.jpg","uri":"public:\/\/150429_Pollution_Large_0.jpg","filemime":"image\/jpeg","filesize":"478609","status":"1","timestamp":"1459976619","type":"undefined","metadata":[],"alt":"","title":"","width":"800","height":"800"},{"fid":"569","uid":"39","filename":"150429_GreenSpace_Large.jpg","uri":"public:\/\/150429_GreenSpace_Large_1.jpg","filemime":"image\/jpeg","filesize":"531406","status":"1","timestamp":"1459976619","type":"undefined","metadata":[],"alt":"","title":"","width":"800","height":"800"},{"fid":"571","uid":"39","filename":"150429_Distance_Large.jpg","uri":"public:\/\/150429_Distance_Large_0.jpg","filemime":"image\/jpeg","filesize":"539055","status":"1","timestamp":"1459976619","type":"undefined","metadata":[],"alt":"","title":"","width":"800","height":"800"},{"fid":"573","uid":"39","filename":"150429_Asthma_Large.jpg","uri":"public:\/\/150429_Asthma_Large_0.jpg","filemime":"image\/jpeg","filesize":"392303","status":"1","timestamp":"1459976619","type":"undefined","metadata":[],"alt":"","title":"","width":"800","height":"800"},{"fid":"575","uid":"39","filename":"150429_Education_Large.jpg","uri":"public:\/\/150429_Education_Large_0.jpg","filemime":"image\/jpeg","filesize":"489501","status":"1","timestamp":"1459976619","type":"undefined","metadata":[],"alt":"","title":"","width":"800","height":"800"}]},"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"http:\/\/spatialinformationdesignlab.org\/project_sites\/the-haven-project\/","title":null,"attributes":[],"original_title":null,"original_url":"http:\/\/spatialinformationdesignlab.org\/project_sites\/the-haven-project\/"}]},"field_dashboard_sort_date":{"und":[{"value":"2015-03-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/nyrp-haven-project","name":"juanfranciscosaldarriaga","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","initiative":"Advanced Data Visualization","sort_date":"2015","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/bluedots.png?itok=oZSUPccJ","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/bluedots.png?itok=zdI8X00m","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/bluedots.png?itok=lQmwNuPS"},"node_path_alias":"projects\/nyrp-haven-project"},{"nid":"260","access":true,"node":{"vid":"260","uid":"39","title":"Exit","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"260","type":"project","language":"und","created":"1461791202","changed":"1552403549","tnid":"0","translate":"0","revision_timestamp":"1552403549","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/EXIT-006.jpg?itok=VIenIXlZ\u0022 \/\u003EPopulation and urban migration. Photo\u0026nbsp;\u00a9 Luc Boegly\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/EXIT-006.jpg?itok=VIenIXlZ\u0022 \/\u003EPopulation and urban migration. Photo\u00a0\u00a9 Luc Boegly\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"1"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"654","uid":"39","filename":"EXIT-001.jpg","uri":"public:\/\/EXIT-001.jpg","filemime":"image\/jpeg","filesize":"13989257","status":"1","timestamp":"1461791202","type":"undefined","metadata":[],"alt":"World population, each pixel represents one thousand people. Photo \u00a9 Luc Boegly","title":"","width":"5760","height":"3840"},{"fid":"655","uid":"39","filename":"EXIT-009.jpg","uri":"public:\/\/EXIT-009.jpg","filemime":"image\/jpeg","filesize":"13673965","status":"1","timestamp":"1461791202","type":"undefined","metadata":[],"alt":"One hundred twenty-four million people were displaced by floods between January 2006 and December 2014. Photo \u00a9 Luc Boegly","title":"","width":"5760","height":"3840"},{"fid":"657","uid":"39","filename":"EXIT-047.jpg","uri":"public:\/\/EXIT-047.jpg","filemime":"image\/jpeg","filesize":"12556750","status":"1","timestamp":"1461791202","type":"undefined","metadata":[],"alt":"There are currently about 19.5 million refugees worldwide, and more than 38 million IDPs. Photo \u00a9 Luc Boegly","title":"","width":"5760","height":"3840"}]},"field_software_tags":[],"field_additional_people":[],"field_project_files":[],"field_project_contact":{"und":[{"email":"info@spatialinformationdesignlab.org"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":{"und":[{"url":"https:\/\/www.youtube.com\/watch?v=kyMbF2uuSIw","title":null,"attributes":[],"original_title":null,"original_url":"https:\/\/www.youtube.com\/watch?v=kyMbF2uuSIw"}]},"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EExit is an immersive installation that investigates global human migrations. The maps are made from\u0026nbsp;data which has been collected from a variety of sources,\u0026nbsp;geocoded, statistically analyzed, re-processed through\u0026nbsp;multiple programming languages and translated visually.\u0026nbsp;Updated to coincide with Cop21 it was exhibited at Palais Tokyo from November 25, 2015 \u2013 January 10, 2016.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EExit is an immersive installation that investigates global human migrations. The maps are made from\u00a0data which has been collected from a variety of sources,\u00a0geocoded, statistically analyzed, re-processed through\u00a0multiple programming languages and translated visually.\u00a0Updated to coincide with Cop21 it was exhibited at Palais Tokyo from November 25, 2015 \u2013 January 10, 2016.\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2015-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"661","uid":"39","filename":"EXIT-047.jpg","uri":"public:\/\/EXIT-047_0.jpg","filemime":"image\/jpeg","filesize":"12556750","status":"1","timestamp":"1461791202","type":"undefined","metadata":[],"alt":"","title":"","width":"5760","height":"3840"}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003EGlobal populations are unstable and on the move.\u0026nbsp;Unprecedented numbers of migrants are leaving their\u0026nbsp;countries for economic, political and environmental reasons.\u0026nbsp;Exit, immerses the viewer in a dynamic presentation of\u0026nbsp;data documenting contemporary human movement.\u0026nbsp;Statistics documenting population shifts are not always\u0026nbsp;neutral and the multiple efforts to collect them are\u0026nbsp;decentralized and incomplete. Here the data are repurposed\u0026nbsp;to build a narrative about global migration and its causes.\u0026nbsp;The viewer enters a circular room and is surrounded by a\u0026nbsp;panoramic video projection of a globe which rolls around\u0026nbsp;the room printing maps as it spins. The maps are made from\u0026nbsp;data which has been collected from a variety of sources,\u0026nbsp;geocoded, statistically analyzed, re-processed through\u0026nbsp;multiple programming languages and translated visually.\u0026nbsp;The presentation is divided into narratives concerning\u0026nbsp;population shifts, remittances, political refugees, natural\u0026nbsp;disaster and sea-level rise and endangered languages.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOriginally completed in 2008, EXIT has been fully updated to coincide with Cop21, the United Nations Conference on Climate Change and reflects data from 2015. On view at the Palais Tokyo in Paris from November 25, 2015 \u2013 January 10, 2016.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EGlobal populations are unstable and on the move.\u00a0Unprecedented numbers of migrants are leaving their\u00a0countries for economic, political and environmental reasons.\u00a0Exit, immerses the viewer in a dynamic presentation of\u00a0data documenting contemporary human movement.\u00a0Statistics documenting population shifts are not always\u00a0neutral and the multiple efforts to collect them are\u00a0decentralized and incomplete. Here the data are repurposed\u00a0to build a narrative about global migration and its causes.\u00a0The viewer enters a circular room and is surrounded by a\u00a0panoramic video projection of a globe which rolls around\u00a0the room printing maps as it spins. The maps are made from\u00a0data which has been collected from a variety of sources,\u00a0geocoded, statistically analyzed, re-processed through\u00a0multiple programming languages and translated visually.\u00a0The presentation is divided into narratives concerning\u00a0population shifts, remittances, political refugees, natural\u00a0disaster and sea-level rise and endangered languages.\u003C\/p\u003E\n\u003Cp\u003EOriginally completed in 2008, EXIT has been fully updated to coincide with Cop21, the United Nations Conference on Climate Change and reflects data from 2015. On view at the Palais Tokyo in Paris from November 25, 2015 \u2013 January 10, 2016.\u003C\/p\u003E\n"}]},"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"79"}]},"field_themes":{"und":[{"tid":"85"},{"tid":"94"},{"tid":"84"},{"tid":"90"},{"tid":"111"}]},"field_methods":{"und":[{"tid":"105"},{"tid":"110"}]},"field_one_sentence_description":{"und":[{"value":"An immersive installation that investigates global human migrations, updated to coincide with Cop21 in December 2015.","format":null,"safe_value":"An immersive installation that investigates global human migrations, updated to coincide with Cop21 in December 2015."}]},"field_project_team_v2":{"und":[{"value":"114","revision_id":"114"},{"value":"115","revision_id":"115"},{"value":"116","revision_id":"116"},{"value":"117","revision_id":"117"},{"value":"118","revision_id":"118"},{"value":"119","revision_id":"119"},{"value":"120","revision_id":"120"},{"value":"121","revision_id":"121"}]},"field_inline_images":{"und":[{"fid":"658","uid":"39","filename":"EXIT-006.jpg","uri":"public:\/\/EXIT-006.jpg","filemime":"image\/jpeg","filesize":"12938069","status":"1","timestamp":"1461791202","type":"undefined","metadata":[],"alt":"","title":"","width":"5760","height":"3840"}]},"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"https:\/\/www.youtube.com\/watch?v=kyMbF2uuSIw","title":null,"attributes":[],"original_title":null,"original_url":"https:\/\/www.youtube.com\/watch?v=kyMbF2uuSIw"}]},"field_dashboard_sort_date":{"und":[{"value":"2015-11-25 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/exit","name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","caption":"Exit","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/EXIT-047_0.jpg?itok=-cdvLngT\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"Advanced Data Visualization","sort_date":"2015","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/EXIT-047_0.jpg?itok=JrHRUhA-","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/EXIT-047_0.jpg?itok=2UK1FnQN","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/EXIT-047_0.jpg?itok=3nY5f93j"},"node_path_alias":"projects\/exit"},{"nid":"204","access":true,"node":{"vid":"204","uid":"39","title":"The Banking Divide For Taxi Access: Evidence From New York City","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"204","type":"project","language":"und","created":"1459192477","changed":"1523842056","tnid":"0","translate":"0","revision_timestamp":"1523842056","revision_uid":"1","field_description":{"und":[{"value":"\u003Cp\u003ETaxicabs are a critical aspect of the public transit system in New York City. The yellow cabs that are ubiquitous in Manhattan are as iconic as the city\u2019s subway system, and in recent years green taxicabs were introduced by the city to improve taxi service in areas outside of the central business districts and airports. Approximately 500,000 taxi trips are taken daily, carrying about 800,000 passengers, and not including other livery firms such as Uber, Lyft or Carmel. Since 2008 yellow taxis have been able to process fare payments with credit cards, and credits cards are a growing share of total fare payments. However, the use of credit cards to pay for taxi fares varies widely across neighborhoods, and there are strong correlations between cash payments for taxi fares, cash payments for transit fares and the presence of unbanked or underbanked populations.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Green_Origins-01.png?itok=X1-dgsUv\u0022 \/\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese issues are of concern for policymakers as approximately ten percent of households in the city are unbanked, and in some neighborhoods the share of unbanked households is over 50 percent. In this paper we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services. There is a clear spatial dimension to the propensity of riders to pay cash, and we find that both immigrant status and being \u2018unbanked\u2019 are strong predictors of cash transactions for taxicabs. These results have implications for local regulations of the for-hire vehicle industry, particularly in the context of the rapid growth of services that require credit cards. Without some type of cash-based payment option taxi services will isolate certain neighborhoods. At the very least, existing and new providers of transit services must consider access to mainstream financial products as part of their equity analyses.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Green_Destinations-01.png?itok=Q-Cqez-a\u0022 \/\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOverall there are observable differences for cash payments by taxi type, location, trip origin and trip destination. It is impossible to know what characteristics differ between a typical yellow cab passenger and a typical green cab passenger, but something leads green cab passengers to use cash far more often than yellow cab passengers. The results shown on the maps suggest that there is a spatial factor in play.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Yellow_Origins-01.png?itok=QnqJ1Mqi\u0022 \/\u003EIn all maps there are stark lines that demarcate where riders predominately use cash (shown in yellow) and where they use credit (shown in blue). The areas marked with yellow are the places where cash is king. With the exception of a credit card hotspot surrounding Columbia University in Morningside Heights Manhattan payment types divide cleanly along income lines, where wealthy neighborhoods flanking Central Park (the empty white rectangle in the middle of the map surrounded by blue to the south and yellow to the north) on the Upper West Side and Upper East Side pay for taxi trips mostly with credit cards and poorer neighborhoods to the north in Spanish and Central Harlem are dominated by cash. One interesting aspect is that the socio-demographic characteristics of\u0026nbsp;neighborhoods seemingly play a large role in determining payment type. It is likely that the cash or credit choice is a function of access to a bank account, for which these spatial data are a good proxy. Another takeaway is that much of the city still does not produce a lot of taxi trips and there is not enough data to present primary payment types at all.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Yellow_Destinations-01.png?itok=1Pb0CpAV\u0022 \/\u003E\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ETaxicabs are a critical aspect of the public transit system in New York City. The yellow cabs that are ubiquitous in Manhattan are as iconic as the city\u2019s subway system, and in recent years green taxicabs were introduced by the city to improve taxi service in areas outside of the central business districts and airports. Approximately 500,000 taxi trips are taken daily, carrying about 800,000 passengers, and not including other livery firms such as Uber, Lyft or Carmel. Since 2008 yellow taxis have been able to process fare payments with credit cards, and credits cards are a growing share of total fare payments. However, the use of credit cards to pay for taxi fares varies widely across neighborhoods, and there are strong correlations between cash payments for taxi fares, cash payments for transit fares and the presence of unbanked or underbanked populations.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Green_Origins-01.png?itok=X1-dgsUv\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EThese issues are of concern for policymakers as approximately ten percent of households in the city are unbanked, and in some neighborhoods the share of unbanked households is over 50 percent. In this paper we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services. There is a clear spatial dimension to the propensity of riders to pay cash, and we find that both immigrant status and being \u2018unbanked\u2019 are strong predictors of cash transactions for taxicabs. These results have implications for local regulations of the for-hire vehicle industry, particularly in the context of the rapid growth of services that require credit cards. Without some type of cash-based payment option taxi services will isolate certain neighborhoods. At the very least, existing and new providers of transit services must consider access to mainstream financial products as part of their equity analyses.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Green_Destinations-01.png?itok=Q-Cqez-a\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EOverall there are observable differences for cash payments by taxi type, location, trip origin and trip destination. It is impossible to know what characteristics differ between a typical yellow cab passenger and a typical green cab passenger, but something leads green cab passengers to use cash far more often than yellow cab passengers. The results shown on the maps suggest that there is a spatial factor in play.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Yellow_Origins-01.png?itok=QnqJ1Mqi\u0022 \/\u003EIn all maps there are stark lines that demarcate where riders predominately use cash (shown in yellow) and where they use credit (shown in blue). The areas marked with yellow are the places where cash is king. With the exception of a credit card hotspot surrounding Columbia University in Morningside Heights Manhattan payment types divide cleanly along income lines, where wealthy neighborhoods flanking Central Park (the empty white rectangle in the middle of the map surrounded by blue to the south and yellow to the north) on the Upper West Side and Upper East Side pay for taxi trips mostly with credit cards and poorer neighborhoods to the north in Spanish and Central Harlem are dominated by cash. One interesting aspect is that the socio-demographic characteristics of\u00a0neighborhoods seemingly play a large role in determining payment type. It is likely that the cash or credit choice is a function of access to a bank account, for which these spatial data are a good proxy. Another takeaway is that much of the city still does not produce a lot of taxi trips and there is not enough data to present primary payment types at all.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/Yellow_Destinations-01.png?itok=1Pb0CpAV\u0022 \/\u003E\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"2"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"516","uid":"39","filename":"Payment_Type_Oct_2014_Green_Rdm_Dest-01.png","uri":"public:\/\/Payment_Type_Oct_2014_Green_Rdm_Dest-01_0.png","filemime":"image\/png","filesize":"640883","status":"1","timestamp":"1459193847","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":[],"alt":"Green Cab Origins","title":"","width":"1951","height":"1020"}]},"field_software_tags":[],"field_additional_people":[],"field_project_files":{"und":[{"fid":"519","uid":"39","filename":"CSR_BankingDivide.pdf","uri":"public:\/\/CSR_BankingDivide.pdf","filemime":"application\/pdf","filesize":"1725760","status":"1","timestamp":"1459193847","type":"default","metadata":[],"display":"1","description":""}]},"field_project_contact":{"und":[{"email":"jfs2118@columbia.edu"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003ESince 2008 yellow taxis have been able to process fare payments with credit cards, and credits cards are a growing share of total fare payments. However, the use of credit cards to pay for taxi fares varies widely across neighborhoods, and there are strong correlations between cash payments for taxi fares, cash payments for transit fares and the presence of unbanked or underbanked populations. In this paper we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ESince 2008 yellow taxis have been able to process fare payments with credit cards, and credits cards are a growing share of total fare payments. However, the use of credit cards to pay for taxi fares varies widely across neighborhoods, and there are strong correlations between cash payments for taxi fares, cash payments for transit fares and the presence of unbanked or underbanked populations. In this paper we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services.\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2016-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"669","uid":"3","filename":"Green_Destinations-01.png","uri":"public:\/\/Green_Destinations-01_0.png","filemime":"image\/png","filesize":"987896","status":"1","timestamp":"1464191830","type":"undefined","metadata":[],"alt":"","title":"","width":"2500","height":"2813"}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003ESince 2008 yellow taxis have been able to process fare payments with credit cards, and credits cards are a growing share of total fare payments. However, the use of credit cards to pay for taxi fares varies widely across neighborhoods, and there are strong correlations between cash payments for taxi fares, cash payments for transit fares and the presence of unbanked or underbanked populations. In this paper we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ESince 2008 yellow taxis have been able to process fare payments with credit cards, and credits cards are a growing share of total fare payments. However, the use of credit cards to pay for taxi fares varies widely across neighborhoods, and there are strong correlations between cash payments for taxi fares, cash payments for transit fares and the presence of unbanked or underbanked populations. In this paper we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services.\u003C\/p\u003E\n"}]},"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"79"}]},"field_themes":{"und":[{"tid":"96"},{"tid":"89"},{"tid":"93"},{"tid":"88"},{"tid":"82"}]},"field_methods":{"und":[{"tid":"105"},{"tid":"103"},{"tid":"75"}]},"field_one_sentence_description":{"und":[{"value":"In this project we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services.","format":null,"safe_value":"In this project we use multiple datasets to explore taxicab fare payments by neighborhood and examine how access to taxicab services is associated with use of conventional banking services."}]},"field_project_team_v2":{"und":[{"value":"86","revision_id":"86"},{"value":"87","revision_id":"87"}]},"field_inline_images":{"und":[{"fid":"666","uid":"3","filename":"Green_Origins-01.png","uri":"public:\/\/Green_Origins-01.png","filemime":"image\/png","filesize":"646499","status":"1","timestamp":"1464191528","type":"undefined","metadata":[],"alt":"","title":"","width":"2500","height":"2813"},{"fid":"665","uid":"3","filename":"Green_Destinations-01.png","uri":"public:\/\/Green_Destinations-01.png","filemime":"image\/png","filesize":"987896","status":"1","timestamp":"1464191528","type":"undefined","metadata":[],"alt":"","title":"","width":"2500","height":"2813"},{"fid":"668","uid":"3","filename":"Yellow_Origins-01.png","uri":"public:\/\/Yellow_Origins-01.png","filemime":"image\/png","filesize":"657695","status":"1","timestamp":"1464191528","type":"undefined","metadata":[],"alt":"","title":"","width":"2500","height":"2813"},{"fid":"667","uid":"3","filename":"Yellow_Destinations-01.png","uri":"public:\/\/Yellow_Destinations-01.png","filemime":"image\/png","filesize":"836397","status":"1","timestamp":"1464191528","type":"undefined","metadata":[],"alt":"","title":"","width":"2500","height":"2813"}]},"field_make_slideshow_":{"und":[{"value":"0"}]},"field_related_projects":{"und":[{"nid":"91"}]},"field_related_publications":[],"field_project_website_link":[],"field_dashboard_sort_date":{"und":[{"value":"2016-04-15 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/banking-divide-taxi-access-evidence-new-york-city","name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","initiative":"Advanced Data Visualization","sort_date":"2016","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/Green_Destinations-01_0.png?itok=Ti6PjMml","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/Green_Destinations-01_0.png?itok=Mk3p68gk","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/Green_Destinations-01_0.png?itok=wdJ2yJV9"},"node_path_alias":"projects\/banking-divide-taxi-access-evidence-new-york-city"},{"nid":"215","access":true,"node":{"vid":"215","uid":"39","title":"Science Surveyor","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"215","type":"project","language":"und","created":"1459964451","changed":"1509467622","tnid":"0","translate":"0","revision_timestamp":"1509467622","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003EWe propose designing a tool that can help science journalists and others to rapidly and effectively characterize the scientific literature for any topic they might cover, as a way to inform and assist news judgment and reporting. Science Surveyor seeks to do this through intuitive, clear interactive graphics that visualize trends in the scientific literature. It aims to show the centrality (or not) of the ideas in the new study, temporal patterns of publishing in the field, and social relationships (the networks of authors and institutions involved in related research).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe see the development of such a tool as having the potential to greatly improve science news coverage, making it more independent, contextualized, and investigative. If successful, the tool will have wider use as well. Scientists and other researchers would use it to improve communication about their fields and practice within their fields. Members of the public would use it to engage with the specialized literature in new ways.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn September 2015 Science Surveyor began its second year of research with an extremely generous Magic Grant from the \u003Ca href=\u0022http:\/\/brown.columbia.edu\/\u0022\u003EHelen Gurley Brown Institute for Media Innovation\u003C\/a\u003E. Science Surveyor was chosen as the Brown Institute\u2019s first Flagship Project. The expanded bi-coastal team aims to develop a methodology and to then test that methodology in interactive visualizations of several case studies from climate science and neuroscience.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EWe propose designing a tool that can help science journalists and others to rapidly and effectively characterize the scientific literature for any topic they might cover, as a way to inform and assist news judgment and reporting. Science Surveyor seeks to do this through intuitive, clear interactive graphics that visualize trends in the scientific literature. It aims to show the centrality (or not) of the ideas in the new study, temporal patterns of publishing in the field, and social relationships (the networks of authors and institutions involved in related research).\u003C\/p\u003E\n\u003Cp\u003EWe see the development of such a tool as having the potential to greatly improve science news coverage, making it more independent, contextualized, and investigative. If successful, the tool will have wider use as well. Scientists and other researchers would use it to improve communication about their fields and practice within their fields. Members of the public would use it to engage with the specialized literature in new ways.\u003C\/p\u003E\n\u003Cp\u003EIn September 2015 Science Surveyor began its second year of research with an extremely generous Magic Grant from the \u003Ca href=\u0022http:\/\/brown.columbia.edu\/\u0022\u003EHelen Gurley Brown Institute for Media Innovation\u003C\/a\u003E. Science Surveyor was chosen as the Brown Institute\u2019s first Flagship Project. The expanded bi-coastal team aims to develop a methodology and to then test that methodology in interactive visualizations of several case studies from climate science and neuroscience.\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"3"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"595","uid":"1","filename":"CSR_ScienceSurveyor_textImg01_0.jpg","uri":"public:\/\/CSR_ScienceSurveyor_textImg01_0_0.jpg","filemime":"image\/jpeg","filesize":"444064","status":"1","timestamp":"1460441567","type":"undefined","metadata":[],"alt":"Centrality view","title":"","width":"2133","height":"1600"},{"fid":"596","uid":"1","filename":"CSR_ScienceSurveyor_textImg02_0.jpg","uri":"public:\/\/CSR_ScienceSurveyor_textImg02_0_0.jpg","filemime":"image\/jpeg","filesize":"318946","status":"1","timestamp":"1460441567","type":"undefined","metadata":[],"alt":"Centrality \/ Pagerank","title":"","width":"2133","height":"1600"},{"fid":"597","uid":"1","filename":"CSR_ScienceSurveyor_textImg03_0.jpg","uri":"public:\/\/CSR_ScienceSurveyor_textImg03_0_0.jpg","filemime":"image\/jpeg","filesize":"482508","status":"1","timestamp":"1460441567","type":"undefined","metadata":[],"alt":"Topic Map","title":"","width":"2133","height":"1600"},{"fid":"598","uid":"1","filename":"CSR_ScienceSurveyor_carousel01_0.jpg","uri":"public:\/\/CSR_ScienceSurveyor_carousel01_0_0.jpg","filemime":"image\/jpeg","filesize":"493299","status":"1","timestamp":"1460441567","type":"undefined","metadata":[],"alt":"","title":"","width":"1975","height":"1008"},{"fid":"599","uid":"1","filename":"CSR_ScienceSurveyor_carousel02_0.jpg","uri":"public:\/\/CSR_ScienceSurveyor_carousel02_0_0.jpg","filemime":"image\/jpeg","filesize":"550846","status":"1","timestamp":"1460441567","type":"undefined","metadata":[],"alt":"","title":"","width":"1975","height":"1008"}]},"field_software_tags":[],"field_additional_people":[],"field_project_files":[],"field_project_contact":{"und":[{"email":"info@spatialinformationdesignlab.org"}]},"field_project_videos":[],"field_more_images":{"und":[{"fid":"560","uid":"39","filename":"CSR_ScienceSurveyor_carousel01.jpg","uri":"public:\/\/CSR_ScienceSurveyor_carousel01_0.jpg","filemime":"image\/jpeg","filesize":"493299","status":"1","timestamp":"1459964451","type":"undefined","metadata":[],"alt":"","title":"","width":"1975","height":"1008"},{"fid":"561","uid":"39","filename":"CSR_ScienceSurveyor_carousel02.jpg","uri":"public:\/\/CSR_ScienceSurveyor_carousel02_0.jpg","filemime":"image\/jpeg","filesize":"550846","status":"1","timestamp":"1459964451","type":"undefined","metadata":[],"alt":"","title":"","width":"1975","height":"1008"}]},"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EOne of the biggest challenges facing science journalists is the ability to quickly contextualize journal articles they are reporting on deadline. Science Surveyor is a tool that can help science journalists and others rapidly and effectively characterize the scientific literature for any topic by providing a contextual consensus, and a timeline of publications surrounding the topic.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EOne of the biggest challenges facing science journalists is the ability to quickly contextualize journal articles they are reporting on deadline. Science Surveyor is a tool that can help science journalists and others rapidly and effectively characterize the scientific literature for any topic by providing a contextual consensus, and a timeline of publications surrounding the topic.\u00a0\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2016-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"565","uid":"39","filename":"CSR_ScienceSurveyor_featured.png","uri":"public:\/\/CSR_ScienceSurveyor_featured_0.png","filemime":"image\/png","filesize":"48377","status":"1","timestamp":"1459964451","type":"undefined","metadata":[],"alt":"","title":"","width":"1200","height":"720"}]},"field_intro_text":{"und":[{"value":"\u003Cp\u003EOne of the biggest challenges facing science journalists is the ability to quickly contextualize journal articles they are reporting on deadline. A science reporter must rapidly get a sense of what has come before in the field, understand whether the new paper represents a significant advance or not, and establish whether this finding is an outlier or part of the field\u2019s consensus. Doing all that within a matter of hours or a few days is often impossible. The consequences of these limitations are serious and well documented. Science journalists are often overly dependent on expert sources, which encourages investigative complacency; they become vulnerable to presenting false balance and to covering articles that will be retracted; they sensationalize. As a consequence, the public often receives a mistaken view of science. Many people see science as a series of great new \u201cdiscoveries\u201d accompanied by a lot of hype; few understand its incremental character, its complexity, its nuance.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EOne of the biggest challenges facing science journalists is the ability to quickly contextualize journal articles they are reporting on deadline. A science reporter must rapidly get a sense of what has come before in the field, understand whether the new paper represents a significant advance or not, and establish whether this finding is an outlier or part of the field\u2019s consensus. Doing all that within a matter of hours or a few days is often impossible. The consequences of these limitations are serious and well documented. Science journalists are often overly dependent on expert sources, which encourages investigative complacency; they become vulnerable to presenting false balance and to covering articles that will be retracted; they sensationalize. As a consequence, the public often receives a mistaken view of science. Many people see science as a series of great new \u201cdiscoveries\u201d accompanied by a lot of hype; few understand its incremental character, its complexity, its nuance.\u00a0\u003C\/p\u003E\n"}]},"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":[],"field_themes":{"und":[{"tid":"96"},{"tid":"95"}]},"field_methods":{"und":[{"tid":"76"},{"tid":"105"},{"tid":"99"}]},"field_one_sentence_description":{"und":[{"value":"Algorithm-based method to help science journalists rapidly and effectively characterize the rich literature for any topic they might cover, as a way to inform and assist news judgment and reporting.","format":null,"safe_value":"Algorithm-based method to help science journalists rapidly and effectively characterize the rich literature for any topic they might cover, as a way to inform and assist news judgment and reporting."}]},"field_project_team_v2":{"und":[{"value":"97","revision_id":"97"},{"value":"98","revision_id":"98"},{"value":"99","revision_id":"99"},{"value":"100","revision_id":"100"},{"value":"101","revision_id":"101"},{"value":"102","revision_id":"102"},{"value":"103","revision_id":"103"},{"value":"104","revision_id":"104"},{"value":"105","revision_id":"105"}]},"field_inline_images":{"und":[{"fid":"562","uid":"39","filename":"CSR_ScienceSurveyor_textImg01.jpg","uri":"public:\/\/CSR_ScienceSurveyor_textImg01_0.jpg","filemime":"image\/jpeg","filesize":"444064","status":"1","timestamp":"1459964451","type":"undefined","metadata":[],"alt":"","title":"","width":"2133","height":"1600"},{"fid":"563","uid":"39","filename":"CSR_ScienceSurveyor_textImg02.jpg","uri":"public:\/\/CSR_ScienceSurveyor_textImg02_0.jpg","filemime":"image\/jpeg","filesize":"318946","status":"1","timestamp":"1459964451","type":"undefined","metadata":[],"alt":"","title":"","width":"2133","height":"1600"},{"fid":"564","uid":"39","filename":"CSR_ScienceSurveyor_textImg03.jpg","uri":"public:\/\/CSR_ScienceSurveyor_textImg03_0.jpg","filemime":"image\/jpeg","filesize":"482508","status":"1","timestamp":"1459964451","type":"undefined","metadata":[],"alt":"","title":"","width":"2133","height":"1600"}]},"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"https:\/\/science-surveyor.github.io","title":null,"attributes":[],"original_title":null,"original_url":"https:\/\/science-surveyor.github.io"}]},"field_dashboard_sort_date":{"und":[{"value":"2016-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/science-surveyor","name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","caption":"Science Surveyor","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/CSR_ScienceSurveyor_featured_0.png?itok=hiXgBRYQ\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"","sort_date":"2016","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/CSR_ScienceSurveyor_featured_0.png?itok=VSsmQQCU","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/CSR_ScienceSurveyor_featured_0.png?itok=uzdEB0aJ","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/CSR_ScienceSurveyor_featured_0.png?itok=K_puZ3Pa"},"node_path_alias":"projects\/science-surveyor"},{"nid":"209","access":true,"node":{"vid":"209","uid":"39","title":"Conflict Urbanism: Colombia","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"209","type":"project","language":"und","created":"1459963816","changed":"1578521271","tnid":"0","translate":"0","revision_timestamp":"1578521271","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/00_Displacement_Lines_All-01_SM_1.png?itok=j_7rZTF_\u0022 \/\u003EOur initial maps look at internally displaced peoples in Colombia and their patterns of migration over the course of the conflict using data from the Registro Unico de Victimas. By spatially analyzing and visualizing data about the victims of the conflict - which wasn\u0027t collected for this purpose - we are helping build the historical memory of the country, and in doing so, contributing to the ongoing peacebuilding process. In these maps lines connect cities where people were displaced to the cities where they moved to. 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By spatially analyzing and visualizing data about the victims of the conflict - which wasn\u0027t collected for this purpose - we are helping build the historical memory of the country, and in doing so, contributing to the ongoing peacebuilding process. In these maps lines connect cities where people were displaced to the cities where they moved to. 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We have provisionally titled this research Conflict Urbanism: Colombia. Our work is still in the beginning phases. We have formed a relationship with the interdisciplinary M.A. Program in Peacebuilding at Universidad de los Andes in Bogot\u00e1.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe aim to analyze and visualize the documented aspects of the conflict in Colombia in order to put forward policy recommendations for the transitional justice and peacebuilding process. These recommendations will be informed by rigorous mapping, spatial analysis, and in-depth research on the socio-historical context of the conflict. The project engages with existing efforts to construct diverse historical memory in transitional justice projects, especially those in Latin America, and at the same time brings new modes of visualizing violent conflict and its aftermath into discourses of truth and reconciliation.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EOn the eve of an historic and controversial peace agreement in Colombia we have launched an investigation into the spatial characteristics of the decades long conflict between multiple state and non-state actors in the country. We have provisionally titled this research Conflict Urbanism: Colombia. Our work is still in the beginning phases. We have formed a relationship with the interdisciplinary M.A. Program in Peacebuilding at Universidad de los Andes in Bogot\u00e1.\u003C\/p\u003E\n\u003Cp\u003EWe aim to analyze and visualize the documented aspects of the conflict in Colombia in order to put forward policy recommendations for the transitional justice and peacebuilding process. These recommendations will be informed by rigorous mapping, spatial analysis, and in-depth research on the socio-historical context of the conflict. 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"}]},"field_project_team_v2":{"und":[{"value":"93","revision_id":"93"},{"value":"94","revision_id":"94"},{"value":"95","revision_id":"95"},{"value":"96","revision_id":"96"}]},"field_inline_images":{"und":[{"fid":"556","uid":"39","filename":"00_Displacement_Lines_All-01_SM.png","uri":"public:\/\/00_Displacement_Lines_All-01_SM_1.png","filemime":"image\/png","filesize":"4900319","status":"1","timestamp":"1459963816","type":"undefined","metadata":[],"alt":"","title":"","width":"1358","height":"1924"}]},"field_make_slideshow_":{"und":[{"value":"0"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"http:\/\/colombia.c4sr.columbia.edu\/","title":null,"attributes":[],"original_title":null,"original_url":"http:\/\/colombia.c4sr.columbia.edu\/"}]},"field_dashboard_sort_date":{"und":[{"value":"2016-04-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/conflict-urbanism-colombia","name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","caption":"Conflict Urbanism: Colombia","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/00_Displacement_Lines_CloseUp-01_0.png?itok=0oAQrUQk\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"Conflict Urbanism","sort_date":"2016","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/00_Displacement_Lines_CloseUp-01_0.png?itok=09Ws2ibk","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/00_Displacement_Lines_CloseUp-01_0.png?itok=A2T4i0l7","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/00_Displacement_Lines_CloseUp-01_0.png?itok=E5Rb8LWv"},"node_path_alias":"projects\/conflict-urbanism-colombia"},{"nid":"385","access":true,"node":{"vid":"385","uid":"1","title":"Points Unknown: Cartographic Narratives","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"385","type":"project","language":"und","created":"1523484265","changed":"1523484265","tnid":"0","translate":"0","revision_timestamp":"1523484265","revision_uid":"1","field_description":{"und":[{"value":"\u003Cp\u003ESpatial training paired with journalism can serve as a missing \u201cintegrator\u201d of data and the real world\u2014providing lessons that travel beyond the boroughs of New York. A wide array of available spatial-visualization tools can extend journalistic practice, helping reporters better find, understand, and tell stories. These same tools can expose the invisible spaces, forces, and environments that architecture, urban design, and planning students must engage, navigate, and learn to represent as part of their spatial toolkit.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPoints Unknown will train journalism and architecture students in GIS and mapping techniques, and will prompt them to ask questions such as: What data are made public? What do they say about life in the city? How are neighborhoods rendered in data and what are the consequences of those representations? What undiscovered stories can be found in visualizing geographies of data?\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/3D_annotated_1.jpg?itok=txohGmJU\u0022 \/\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAnnotated map of Chelsea Neighborhood from course exercises.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/multispectral_0.png?itok=dL6A-5fx\u0022 \/\u003EFalse color image of flood prone Houston suburbs.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003ESpatial training paired with journalism can serve as a missing \u201cintegrator\u201d of data and the real world\u2014providing lessons that travel beyond the boroughs of New York. A wide array of available spatial-visualization tools can extend journalistic practice, helping reporters better find, understand, and tell stories. These same tools can expose the invisible spaces, forces, and environments that architecture, urban design, and planning students must engage, navigate, and learn to represent as part of their spatial toolkit.\u003C\/p\u003E\n\u003Cp\u003EPoints Unknown will train journalism and architecture students in GIS and mapping techniques, and will prompt them to ask questions such as: What data are made public? What do they say about life in the city? How are neighborhoods rendered in data and what are the consequences of those representations? What undiscovered stories can be found in visualizing geographies of data?\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/3D_annotated_1.jpg?itok=txohGmJU\u0022 \/\u003E\u003C\/p\u003E\n\u003Cp\u003EAnnotated map of Chelsea Neighborhood from course exercises.\u00a0\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/multispectral_0.png?itok=dL6A-5fx\u0022 \/\u003EFalse color image of flood prone Houston suburbs.\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"2"}]},"field_project_tags":[],"field_project_images2":[],"field_software_tags":[],"field_additional_people":[],"field_project_files":[],"field_project_contact":{"und":[{"email":"info@spatialinformationdesignlab.org"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EPoints Unknown is a curriculum, jointly developed with the Columbia School of Journalism, that will train journalism and architecture students in GIS and mapping techniques, and will prompt them to ask questions such as: What data are made public? What do they say about life in the city? How are neighborhoods rendered in data and what are the consequences of those representations? What undiscovered stories can be found in visualizing geographies of data?\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EPoints Unknown is a curriculum, jointly developed with the Columbia School of Journalism, that will train journalism and architecture students in GIS and mapping techniques, and will prompt them to ask questions such as: What data are made public? What do they say about life in the city? How are neighborhoods rendered in data and what are the consequences of those representations? What undiscovered stories can be found in visualizing geographies of data?\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2017-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"856","uid":"1","filename":"3D_annotated_0.jpg","uri":"public:\/\/3D_annotated_0.jpg","filemime":"image\/jpeg","filesize":"128842","status":"1","timestamp":"1523484265","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":500,"width":980},"height":"500","width":"980","alt":"","title":""}]},"field_intro_text":[],"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"112"}]},"field_themes":{"und":[{"tid":"96"},{"tid":"93"},{"tid":"88"}]},"field_methods":{"und":[{"tid":"103"}]},"field_one_sentence_description":{"und":[{"value":"Points Unknown is a curriculum that will train journalism and architecture students in GIS and mapping techniques.","format":null,"safe_value":"Points Unknown is a curriculum that will train journalism and architecture students in GIS and mapping techniques."}]},"field_project_team_v2":{"und":[{"value":"144","revision_id":"144"},{"value":"145","revision_id":"145"},{"value":"146","revision_id":"146"}]},"field_inline_images":{"und":[{"fid":"857","uid":"1","filename":"3D_annotated_0.jpg","uri":"public:\/\/3D_annotated_0_0.jpg","filemime":"image\/jpeg","filesize":"128842","status":"1","timestamp":"1523484265","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":500,"width":980},"height":"500","width":"980","alt":"","title":""},{"fid":"858","uid":"1","filename":"multispectral_0.png","uri":"public:\/\/multispectral_0.png","filemime":"image\/png","filesize":"1368775","status":"1","timestamp":"1523484265","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":500,"width":980},"height":"500","width":"980","alt":"","title":""}]},"field_make_slideshow_":{"und":[{"value":"0"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"http:\/\/pointsunknown.nyc","title":null,"attributes":[],"original_title":null,"original_url":"http:\/\/pointsunknown.nyc"}]},"field_dashboard_sort_date":{"und":[{"value":"2017-09-09 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/points-unknown-cartographic-narratives","name":"admin","picture":"0","data":"a:6:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;s:7:\u0022overlay\u0022;i:1;}","initiative":"Architecture, Urbanism, and the Humanities","sort_date":"2017","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/3D_annotated_0.jpg?itok=CuFG9dc_","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/3D_annotated_0.jpg?itok=ifTyG5mX","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/3D_annotated_0.jpg?itok=XVIzPhiY"},"node_path_alias":"projects\/points-unknown-cartographic-narratives"},{"nid":"387","access":true,"node":{"vid":"387","uid":"39","title":"Conflict Urbanism: Urban Language Ecologies ","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"387","type":"project","language":"und","created":"1523484565","changed":"1578521486","tnid":"0","translate":"0","revision_timestamp":"1578521486","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003EConflict Urbanism: Language Ecologies explores the role that language plays in shaping urban space. This project grew out of the Spring 2017 seminar, \u003Ca href=\u0022http:\/\/c4sr.columbia.edu\/courses\/conflict-urbanism-language-justice\u0022\u003EConflict Urbanism: Language Justice.\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003ELanguage interacts with its environment at multiple scales and with diverse media. As an ecology, language either dominates, or is vulnerable to its host environments. In this way it often makes conflict visible in urban settings.\u0026nbsp;\u0026nbsp;\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nLanguage works in extraordinary ways \u2013 multilingualism can divide a local community and simultaneously connect a global community. Language also works in the most ordinary ways \u2013 it mediates nearly every human interaction, from fulfilling the most basic needs to communicating the most abstract ideas.\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\nWe have collaborated with the Endangered Language Alliance to build a map which visualizes the incredible diversity of languages spoken in New York City focusing on the most vulnerable languages. We have also worked on a series of case studies about language in New York City. Our research shows that typical maps represent monolingualism very well, drawing boundaries around ethnolinguistic groups; but language ecology, especially in urban areas, is one of both community as well as individual multilingualism. Each case study seeks to address this by taking innovative and sometimes radical approaches to represent the diversity of languages spoken in New York City. Though the projects focus on New York, the methods of visualization and inquiry extend easily to other multilingual, multinational spaces.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/c4sr.columbia.edu\/urban-language-ecologies\/\u0022\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/BeyondTheCensus2.png?itok=daBLgttS\u0022 \/\u003E\u003C\/a\u003EBeyond the Census: Languages of Queens map.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EConflict Urbanism: Language Ecologies explores the role that language plays in shaping urban space. This project grew out of the Spring 2017 seminar, \u003Ca href=\u0022http:\/\/c4sr.columbia.edu\/courses\/conflict-urbanism-language-justice\u0022\u003EConflict Urbanism: Language Justice.\u003C\/a\u003E\u003C\/p\u003E\n\u003Cp\u003ELanguage interacts with its environment at multiple scales and with diverse media. As an ecology, language either dominates, or is vulnerable to its host environments. In this way it often makes conflict visible in urban settings.\u00a0\u00a0\u003C\/p\u003E\n\u003Cp\u003ELanguage works in extraordinary ways \u2013 multilingualism can divide a local community and simultaneously connect a global community. Language also works in the most ordinary ways \u2013 it mediates nearly every human interaction, from fulfilling the most basic needs to communicating the most abstract ideas.\u003C\/p\u003E\n\u003Cp\u003EWe have collaborated with the Endangered Language Alliance to build a map which visualizes the incredible diversity of languages spoken in New York City focusing on the most vulnerable languages. We have also worked on a series of case studies about language in New York City. Our research shows that typical maps represent monolingualism very well, drawing boundaries around ethnolinguistic groups; but language ecology, especially in urban areas, is one of both community as well as individual multilingualism. Each case study seeks to address this by taking innovative and sometimes radical approaches to represent the diversity of languages spoken in New York City. Though the projects focus on New York, the methods of visualization and inquiry extend easily to other multilingual, multinational spaces.\u003C\/p\u003E\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/c4sr.columbia.edu\/urban-language-ecologies\/\u0022\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022http:\/\/c4sr.spatialinformationdesignlab.org\/sites\/default\/files\/styles\/project-page-image\/public\/BeyondTheCensus2.png?itok=daBLgttS\u0022 \/\u003E\u003C\/a\u003EBeyond the Census: Languages of Queens map.\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"2"}]},"field_project_tags":[],"field_project_images2":[],"field_software_tags":[],"field_additional_people":[],"field_project_files":[],"field_project_contact":{"und":[{"email":"info@spatialinformationdesignlab.org"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EConflict Urbanism: Language Ecologies explores the role that language plays in shaping urban space. 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How do they experience the city? How much can they make, 5 cents at a time?\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOver the past eight months, journalist Francesca Berardi followed a group of canners in their daily activity, collecting qualitative and quantitative information about their work. They come in the form of handwritten notes, sketches, audio interviews, photos and videos taken with an iPhone, which was the only technological tool used on the field. We are now working together to build a multimedia interactive digital platform that challenges the preconceived notion of canners as desperate, homeless, junkies while inviting the users to explore NYC through their eyes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThrough audio vignettes, drawings, mapping and data visualizations, we are telling the stories of a Mexican couple who make more than $50,000 a year collecting garbage, of a young queer who picks up cans and bottles to help his grandma and performs on Broadways shows, of a man who lost his apartment in the 2008 mortgage crisis and that says that canning saved him from depression.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe funding for this project has been provided through a Magic Grant from the\u0026nbsp;\u003Ca href=\u0022https:\/\/brown.columbia.edu\/\u0022\u003EHelen Gurley Brown Institute for Media Innovation.\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EWho are the canners? How do they experience the city? How much can they make, 5 cents at a time?\u003C\/p\u003E\n\u003Cp\u003EOver the past eight months, journalist Francesca Berardi followed a group of canners in their daily activity, collecting qualitative and quantitative information about their work. They come in the form of handwritten notes, sketches, audio interviews, photos and videos taken with an iPhone, which was the only technological tool used on the field. We are now working together to build a multimedia interactive digital platform that challenges the preconceived notion of canners as desperate, homeless, junkies while inviting the users to explore NYC through their eyes.\u003C\/p\u003E\n\u003Cp\u003EThrough audio vignettes, drawings, mapping and data visualizations, we are telling the stories of a Mexican couple who make more than $50,000 a year collecting garbage, of a young queer who picks up cans and bottles to help his grandma and performs on Broadways shows, of a man who lost his apartment in the 2008 mortgage crisis and that says that canning saved him from depression.\u00a0\u003C\/p\u003E\n\u003Cp\u003EThe funding for this project has been provided through a Magic Grant from the\u00a0\u003Ca href=\u0022https:\/\/brown.columbia.edu\/\u0022\u003EHelen Gurley Brown Institute for Media Innovation.\u003C\/a\u003E\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"3"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"863","uid":"1","filename":"01_Homepage_900x600.png","uri":"public:\/\/01_Homepage_900x600_0.png","filemime":"image\/png","filesize":"147554","status":"1","timestamp":"1523484569","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":600,"width":900},"height":"600","width":"900","alt":"","title":""},{"fid":"864","uid":"1","filename":"02_Morena_980x500.png","uri":"public:\/\/02_Morena_980x500.png","filemime":"image\/png","filesize":"175553","status":"1","timestamp":"1523484569","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":500,"width":980},"height":"500","width":"980","alt":"","title":""},{"fid":"865","uid":"1","filename":"03_Path_980x500.png","uri":"public:\/\/03_Path_980x500.png","filemime":"image\/png","filesize":"165751","status":"1","timestamp":"1523484569","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":500,"width":980},"height":"500","width":"980","alt":"","title":""},{"fid":"866","uid":"1","filename":"04_Morena_dataViz_980x500.png","uri":"public:\/\/04_Morena_dataViz_980x500.png","filemime":"image\/png","filesize":"416458","status":"1","timestamp":"1523484569","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":500,"width":980},"height":"500","width":"980","alt":"","title":""}]},"field_software_tags":[],"field_additional_people":[],"field_project_files":[],"field_project_contact":{"und":[{"email":"info@spatialinformationdesignlab.org"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EWe Can is a multimedia storytelling project that explores the lives and activity of canners, people who pick up cans and bottles on NYC streets. 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The mapping component consists in GPS tracked canners\u2019 daily itineraries that unfold, while revealing the quantitative and qualitative data collected manually.\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2018-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"862","uid":"1","filename":"01_Homepage_900x600.png","uri":"public:\/\/01_Homepage_900x600.png","filemime":"image\/png","filesize":"147554","status":"1","timestamp":"1523484569","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":600,"width":900},"height":"600","width":"900","alt":"","title":""}]},"field_intro_text":[],"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"79"}]},"field_themes":{"und":[{"tid":"84"},{"tid":"111"}]},"field_methods":{"und":[{"tid":"105"},{"tid":"101"},{"tid":"75"}]},"field_one_sentence_description":{"und":[{"value":"A data driven multimedia project that reveals the way canners - people who pick up cans and bottles on the street - experience the city","format":null,"safe_value":"A data driven multimedia project that reveals the way canners - people who pick up cans and bottles on the street - experience the city"}]},"field_project_team_v2":{"und":[{"value":"153","revision_id":"153"},{"value":"154","revision_id":"154"}]},"field_inline_images":[],"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"https:\/\/canners.nyc\/","title":null,"attributes":[],"original_title":null,"original_url":"https:\/\/canners.nyc\/"}]},"field_dashboard_sort_date":{"und":[{"value":"2018-02-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/we-can","name":"admin","picture":"0","data":"a:6:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;s:7:\u0022overlay\u0022;i:1;}","caption":"We Can","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/01_Homepage_900x600.png?itok=wm4tNaRk\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"Advanced Data Visualization","sort_date":"2018","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/01_Homepage_900x600.png?itok=dA5go-ex","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/01_Homepage_900x600.png?itok=6xcDiWTt","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/01_Homepage_900x600.png?itok=SwyZVHln"},"node_path_alias":"projects\/we-can"},{"nid":"424","access":true,"node":{"vid":"424","uid":"39","title":"In Plain Sight","log":"","status":"1","comment":"1","promote":"0","sticky":"0","nid":"424","type":"project","language":"und","created":"1544134554","changed":"1611683166","tnid":"0","translate":"0","revision_timestamp":"1611683166","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003E\u003Cem\u003EIn Plain Sight\u003C\/em\u003E\u0026nbsp;presents anomalies in population distribution seen in\u0026nbsp;nighttime\u0026nbsp;satellite\u0026nbsp;imagery of Earth and census grid\u0026nbsp;counts produced by governments worldwide\u0026nbsp;\u2014 revealing\u0026nbsp;places with bright lights\u0026nbsp;and no people and places with people and no\u0026nbsp;lights\u2014thus, challenging our assumptions about geographies of belonging and exclusion.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project was tasked with interrogating the relationship between citizenship and the built environment at the scale of the globe, where the primacy of the individual, the city, and even the nation drops away and is replaced by data: electricity, trade routes, migratory shifts, and the flow of capital, goods and people.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe installation is a collaboration between Diller Scofidio + Renfro, Laura Kurgan, and Robert Gerard Pietrusko with the Center for Spatial Research,\u0026nbsp;and will be on view from May 26 through November 25, 2018. The installation is conceived and designed for\u0026nbsp;\u003Ca href=\u0022http:\/\/dimensionsofcitizenship.org\/\u0022\u003EDimensions of Citizenship\u003C\/a\u003E, the US Pavilion at the 16th International Architecture Exhibition of La Biennale di Venezia, commissioned by the School of the Art Institute of Chicago and The University of Chicago.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EView the full project video\u0026nbsp;\u003Ca href=\u0022https:\/\/vimeo.com\/290575503\u0022\u003Ehere\u003C\/a\u003E.\u0026nbsp;\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003E\u003Cem\u003EIn Plain Sight\u003C\/em\u003E\u00a0presents anomalies in population distribution seen in\u00a0nighttime\u00a0satellite\u00a0imagery of Earth and census grid\u00a0counts produced by governments worldwide\u00a0\u2014 revealing\u00a0places with bright lights\u00a0and no people and places with people and no\u00a0lights\u2014thus, challenging our assumptions about geographies of belonging and exclusion.\u003C\/p\u003E\n\u003Cp\u003EThe project was tasked with interrogating the relationship between citizenship and the built environment at the scale of the globe, where the primacy of the individual, the city, and even the nation drops away and is replaced by data: electricity, trade routes, migratory shifts, and the flow of capital, goods and people.\u003C\/p\u003E\n\u003Cp\u003EThe installation is a collaboration between Diller Scofidio + Renfro, Laura Kurgan, and Robert Gerard Pietrusko with the Center for Spatial Research,\u00a0and will be on view from May 26 through November 25, 2018. The installation is conceived and designed for\u00a0\u003Ca href=\u0022http:\/\/dimensionsofcitizenship.org\/\u0022\u003EDimensions of Citizenship\u003C\/a\u003E, the US Pavilion at the 16th International Architecture Exhibition of La Biennale di Venezia, commissioned by the School of the Art Institute of Chicago and The University of Chicago.\u003C\/p\u003E\n\u003Cp\u003EView the full project video\u00a0\u003Ca href=\u0022https:\/\/vimeo.com\/290575503\u0022\u003Ehere\u003C\/a\u003E.\u00a0\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"1"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"911","uid":"39","filename":"BlackMarble_Wide.png","uri":"public:\/\/BlackMarble_Wide.png","filemime":"image\/png","filesize":"2295625","status":"1","timestamp":"1544134554","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1679,"width":3360},"height":"1679","width":"3360","alt":"The Earth at night, as seen in the \u0022Black Marble.\u0022","title":""},{"fid":"912","uid":"39","filename":"8Dark_wide.png","uri":"public:\/\/8Dark_wide.png","filemime":"image\/png","filesize":"2864070","status":"1","timestamp":"1544134554","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1676,"width":3360},"height":"1676","width":"3360","alt":"The absence of light does not always mean the absence of people.","title":""},{"fid":"914","uid":"39","filename":"128Dark_night.png","uri":"public:\/\/128Dark_night.png","filemime":"image\/png","filesize":"1484771","status":"1","timestamp":"1544134554","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1684,"width":3360},"height":"1684","width":"3360","alt":"Night View: Dark yet populated places are dispersed across the globe.","title":""},{"fid":"915","uid":"39","filename":"128Dark.png","uri":"public:\/\/128Dark.png","filemime":"image\/png","filesize":"10839340","status":"1","timestamp":"1544134554","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1682,"width":3360},"height":"1682","width":"3360","alt":"Day View: Dark yet populated places are dispersed across the globe.","title":""},{"fid":"916","uid":"39","filename":"8Bright.png","uri":"public:\/\/8Bright.png","filemime":"image\/png","filesize":"2844759","status":"1","timestamp":"1544134554","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1675,"width":3360},"height":"1675","width":"3360","alt":"The presence of light does not always mean the presence of people.","title":""},{"fid":"917","uid":"39","filename":"8BrightGrid.png","uri":"public:\/\/8BrightGrid.png","filemime":"image\/png","filesize":"6417262","status":"1","timestamp":"1544134554","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1680,"width":3360},"height":"1680","width":"3360","alt":"There are many kinds of bright locations with very few inhabitants.","title":""},{"fid":"1095","uid":"39","filename":"19. 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Venezia.","format":null,"safe_value":"An immersive installation in the US Pavilion at the 16th International Architecture Exhibition of La Biennale di Venezia."}]},"field_project_team_v2":{"und":[{"value":"168","revision_id":"168"},{"value":"169","revision_id":"169"},{"value":"170","revision_id":"170"},{"value":"171","revision_id":"171"},{"value":"172","revision_id":"172"}]},"field_inline_images":[],"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":{"und":[{"url":"https:\/\/vimeo.com\/290575503","title":null,"attributes":[],"original_title":null,"original_url":"https:\/\/vimeo.com\/290575503"}]},"field_dashboard_sort_date":{"und":[{"value":"2018-05-26 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/plain-sight","name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","caption":"In Plain Sight","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/BlackMarbleLight_Alt.png?itok=yGmhAC_E\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"Conflict Urbanism","sort_date":"2018","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/BlackMarbleLight_Alt.png?itok=SIHYWb4R","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/BlackMarbleLight_Alt.png?itok=vLFK1d8L","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/BlackMarbleLight_Alt.png?itok=-eu_zYeV"},"node_path_alias":"projects\/plain-sight"},{"nid":"470","access":true,"node":{"vid":"470","uid":"39","title":"Personal Census Atlas","log":"","status":"1","comment":"0","promote":"0","sticky":"0","nid":"470","type":"project","language":"und","created":"1574874773","changed":"1603399836","tnid":"0","translate":"0","revision_timestamp":"1603399836","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003EThis project visualizes the U.S. Census through the lens of 1 person\u2019s location data over the course of 3 years. It addresses the potential of self quantification in the personalization of public aggregate data. The dataset included 899 days of usable data, containing just over 21,000 records of time and location, most of which were in the United States. The over 20,000 American locations recorded are not all unique, they fell into 2633 unique census tracts. Of these tracts, over half of the recorded time was spent in just 9 census tracts. These 9 tracts have demographic characteristics in common in contrast to the rest of the country. The maps contained in this project presents these 9 tracts as a hypothetical island and displays the Census information for this combined area in the same style as a traditional census atlas.\u003Cbr \/\u003E\r\nUntil 1970, the Census was conducted by a team of Census takers that visited each home and filled out Census forms by asking questions of the residents. However in 1970 the Census became self-enumerated, and when many Americans set a pen to the Census forms for the first time, some struggled to categorize themselves. For example, one of the questions that the form asked was \u201cRelationship to Head of Household\u201d. Because no option was given for husband of household, married women saw, for the first time, that they were not able to self-identify as the heads of their own households. In the subsequent Census of 1980, this option was changed. Amid all the other changes that usually occurred between one Census and another, the rewording of this category may seem like an insignificant detail.\u0026nbsp; However, this is a good example that talks about the difference between how we are being counted and how we count ourselves.\u003Cbr \/\u003E\r\nWe are being counted all the time. Despite the increasing nuance and sophistication of classification and categorization systems, the formalization of categories is always going to be playing catch up to how we can define ourselves. Is it possible that we can challenge the transactional nature of our current relationship with data by viewing aggregate data through the lens of self knowledge?\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThis project visualizes the U.S. Census through the lens of 1 person\u2019s location data over the course of 3 years. It addresses the potential of self quantification in the personalization of public aggregate data. The dataset included 899 days of usable data, containing just over 21,000 records of time and location, most of which were in the United States. The over 20,000 American locations recorded are not all unique, they fell into 2633 unique census tracts. Of these tracts, over half of the recorded time was spent in just 9 census tracts. These 9 tracts have demographic characteristics in common in contrast to the rest of the country. The maps contained in this project presents these 9 tracts as a hypothetical island and displays the Census information for this combined area in the same style as a traditional census atlas.\u003Cbr \/\u003E\nUntil 1970, the Census was conducted by a team of Census takers that visited each home and filled out Census forms by asking questions of the residents. However in 1970 the Census became self-enumerated, and when many Americans set a pen to the Census forms for the first time, some struggled to categorize themselves. For example, one of the questions that the form asked was \u201cRelationship to Head of Household\u201d. Because no option was given for husband of household, married women saw, for the first time, that they were not able to self-identify as the heads of their own households. In the subsequent Census of 1980, this option was changed. Amid all the other changes that usually occurred between one Census and another, the rewording of this category may seem like an insignificant detail.\u00a0 However, this is a good example that talks about the difference between how we are being counted and how we count ourselves.\u003Cbr \/\u003E\nWe are being counted all the time. Despite the increasing nuance and sophistication of classification and categorization systems, the formalization of categories is always going to be playing catch up to how we can define ourselves. Is it possible that we can challenge the transactional nature of our current relationship with data by viewing aggregate data through the lens of self knowledge?\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"3"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"982","uid":"39","filename":"CSR_2019_census_atlas_carousel_1.png","uri":"public:\/\/CSR_2019_census_atlas_carousel_1.png","filemime":"image\/png","filesize":"1132918","status":"1","timestamp":"1574874773","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":980,"width":1920},"height":"980","width":"1920","alt":"Census data comparisons between personal geography and the U.S. as a whole","title":""},{"fid":"983","uid":"39","filename":"CSR_2019_census_atlas_carousel_2.png","uri":"public:\/\/CSR_2019_census_atlas_carousel_2.png","filemime":"image\/png","filesize":"349311","status":"1","timestamp":"1574874773","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":500,"width":980},"height":"500","width":"980","alt":"Census data comparisons between personal geography and the U.S. as a whole","title":""},{"fid":"984","uid":"39","filename":"CSR_2019_census_atlas_carousel_3.png","uri":"public:\/\/CSR_2019_census_atlas_carousel_3.png","filemime":"image\/png","filesize":"628916","status":"1","timestamp":"1574874773","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":980,"width":1920},"height":"980","width":"1920","alt":"Census data comparisons between personal geography and the U.S. as a whole","title":""},{"fid":"985","uid":"39","filename":"CSR_2019_census_atlas_carousel_4.png","uri":"public:\/\/CSR_2019_census_atlas_carousel_4.png","filemime":"image\/png","filesize":"1643677","status":"1","timestamp":"1574874773","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":916,"width":1795},"height":"916","width":"1795","alt":"Census data locator mobile app","title":""}]},"field_software_tags":[],"field_additional_people":[],"field_project_files":[],"field_project_contact":{"und":[{"email":"info@c4sr.columbia.edu"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EThis project visualizes the U.S. Census through the lens of 1 person\u2019s location data over the course of 3 years. It addresses the potential of self quantification in the personalization of public aggregate data. We are constantly viewed through data collected from us. However, despite the increasing nuance and sophistication of classification and categorization systems, the formalization of categories is always going to be playing catch up to how we can define ourselves. Is it possible that we can challenge the transactional nature of our current relationship with data by viewing aggregate data through the lens of self knowledge?\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThis project visualizes the U.S. Census through the lens of 1 person\u2019s location data over the course of 3 years. It addresses the potential of self quantification in the personalization of public aggregate data. We are constantly viewed through data collected from us. However, despite the increasing nuance and sophistication of classification and categorization systems, the formalization of categories is always going to be playing catch up to how we can define ourselves. Is it possible that we can challenge the transactional nature of our current relationship with data by viewing aggregate data through the lens of self knowledge?\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2019-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"986","uid":"39","filename":"CSR_2019_census_atlas_home_1.jpg","uri":"public:\/\/CSR_2019_census_atlas_home_1.jpg","filemime":"image\/jpeg","filesize":"980082","status":"1","timestamp":"1574874773","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":600,"width":900},"height":"600","width":"900","alt":"","title":""}]},"field_intro_text":[],"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"78"}]},"field_themes":{"und":[{"tid":"111"}]},"field_methods":{"und":[{"tid":"105"},{"tid":"101"}]},"field_one_sentence_description":{"und":[{"value":"A visualization of the U.S. Census through the lens of one person\u2019s longitudinal location data.","format":null,"safe_value":"A visualization of the U.S. Census through the lens of one person\u2019s longitudinal location data."}]},"field_project_team_v2":{"und":[{"value":"182","revision_id":"182"}]},"field_inline_images":[],"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":[],"field_dashboard_sort_date":{"und":[{"value":"2019-04-08 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/personal-census-atlas","name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","caption":"Personal Census Atlas","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/CSR_2019_census_atlas_home_1.jpg?itok=Tlsc4uoM\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"Conflict Urbanism","sort_date":"2019","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/CSR_2019_census_atlas_home_1.jpg?itok=xDe-O7Wg","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/CSR_2019_census_atlas_home_1.jpg?itok=GRU9sTVe","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/CSR_2019_census_atlas_home_1.jpg?itok=rnsCLE2A"},"node_path_alias":"projects\/personal-census-atlas"},{"nid":"476","access":true,"node":{"vid":"476","uid":"39","title":"Homophily: the Urban History of an Algorithm","log":"","status":"1","comment":"0","promote":"0","sticky":"0","nid":"476","type":"project","language":"und","created":"1574879774","changed":"1603400311","tnid":"0","translate":"0","revision_timestamp":"1603400311","revision_uid":"39","field_description":{"und":[{"value":"\u003Cp\u003EThe word \u0022homophily\u0022 was coined by researchers Paul Lazarsfeld and Robert Merton in an influential 1954 study of friendships in Addison Terrace, a biracial housing project in Pittsburgh. They were suspicious of the \u0022familiar and egregiously misleading question: do birds of a feather flock together?\u0022 They suggested that friendships form and persist not simply on the basis of shared identities but thanks to shared values and beliefs. They focused on \u0022racial attitudes,\u0022 and discovered that people with what they called \u0022liberal\u0022 values about race were much more likely to be friends with each other, as were people with \u0022illiberal\u0022 positions. In a quirk of statistical reasoning, they used only the survey results from white residents: the black population was so overwhelmingly \u0022liberal\u0022 that comparison was impossible. The model of homophily \u2013 \u0022the tendency for friendships to form between people \u0027of the same kind\u0027\u0022\u0026nbsp; \u2013 was born in this conflictual urban battleground around segregation and integration.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe afterlife of the concept and its formalization has been remarkable. Today it functions as the principle underlying much of what happens in online social and economic interactions, the axiom that \u2018similarity breeds connection.\u0027 What began as a description of social life has become an algorithmic rule shaping it: homophily drives targeted advertising, recommendations for purchases and viewing, the promotion of certain types of content on social media platforms over others, and the predictions about crime that guide pre-emptive policing. More or less invisibly, it guides us to people, commodities, destinations, and ideas, among other things, and is widely blamed for creating a social world in which previously-held identities and positions are reinforced and concentrated rather than challenged or hybridized.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe exhibition puts the formalization of homophily in tension with its conceptual and historical origins. The exterior of the five-walled space is covered in custom LED panels that simulate homophily and the segregation that it produces. Inside, a series of probes into the archives of Lazarsfeld and Merton uncover the history of the concept of homophily and its influence on urbanism and network science. Their archive is not simply something from the past. It speaks directly to our present, our segregated cities and our polarized platforms, where the effects of research in a housing project now reverberate at much greater scale in networks and networked cities.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOn view at the \u003Ca href=\u0022https:\/\/chicagoarchitecturebiennial.org\/\u0022\u003E2019 Chicago Architecture Biennial\u003C\/a\u003E September 18,2019 \u2013 January 5, 2020.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EA companion essay to the exhibition is \u003Ca href=\u0022https:\/\/www.e-flux.com\/architecture\/are-friends-electric\/289193\/homophily-the-urban-history-of-an-algorithm\/\u0022\u003Epublished\u003C\/a\u003E in e-flux Architecture.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EResearch for this exhibition was supported by the Andrew W. Mellon Foundation, the Canada 150 Research Chairs Program, and the Columbia Graduate School of Architecture, Planning and Preservation. With thanks Leslie Gill Architect for design consultation, and to the Columbia Rare Book and Manuscript Library, Harriet Zuckerman, Robert Lazarsfeld for assistance and reproduction permissions on archival materials.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/CSR_2019_homophily_axo_view_alt-01.png?itok=gRIhLZvY\u0022 \/\u003EIn collaboration with:\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWendy Hui Kyong Chun, Canada 150 Research Chair in New Media and Professor of Communication, Simon Fraser University\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGraduate Research Assistants: Alanna Browdy, Rebecca Cook, Audrey Dandenault, Tola Oniyangi, Andrea Partenio, Juvaria Shahid\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGraphic Design: Studio TheGreenEyl\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EThe word \u0022homophily\u0022 was coined by researchers Paul Lazarsfeld and Robert Merton in an influential 1954 study of friendships in Addison Terrace, a biracial housing project in Pittsburgh. They were suspicious of the \u0022familiar and egregiously misleading question: do birds of a feather flock together?\u0022 They suggested that friendships form and persist not simply on the basis of shared identities but thanks to shared values and beliefs. They focused on \u0022racial attitudes,\u0022 and discovered that people with what they called \u0022liberal\u0022 values about race were much more likely to be friends with each other, as were people with \u0022illiberal\u0022 positions. In a quirk of statistical reasoning, they used only the survey results from white residents: the black population was so overwhelmingly \u0022liberal\u0022 that comparison was impossible. The model of homophily \u2013 \u0022the tendency for friendships to form between people \u0027of the same kind\u0027\u0022\u00a0 \u2013 was born in this conflictual urban battleground around segregation and integration.\u003C\/p\u003E\n\u003Cp\u003EThe afterlife of the concept and its formalization has been remarkable. Today it functions as the principle underlying much of what happens in online social and economic interactions, the axiom that \u2018similarity breeds connection.\u0027 What began as a description of social life has become an algorithmic rule shaping it: homophily drives targeted advertising, recommendations for purchases and viewing, the promotion of certain types of content on social media platforms over others, and the predictions about crime that guide pre-emptive policing. More or less invisibly, it guides us to people, commodities, destinations, and ideas, among other things, and is widely blamed for creating a social world in which previously-held identities and positions are reinforced and concentrated rather than challenged or hybridized.\u003C\/p\u003E\n\u003Cp\u003EThe exhibition puts the formalization of homophily in tension with its conceptual and historical origins. The exterior of the five-walled space is covered in custom LED panels that simulate homophily and the segregation that it produces. Inside, a series of probes into the archives of Lazarsfeld and Merton uncover the history of the concept of homophily and its influence on urbanism and network science. Their archive is not simply something from the past. It speaks directly to our present, our segregated cities and our polarized platforms, where the effects of research in a housing project now reverberate at much greater scale in networks and networked cities.\u003C\/p\u003E\n\u003Cp\u003EOn view at the \u003Ca href=\u0022https:\/\/chicagoarchitecturebiennial.org\/\u0022\u003E2019 Chicago Architecture Biennial\u003C\/a\u003E September 18,2019 \u2013 January 5, 2020.\u003C\/p\u003E\n\u003Cp\u003EA companion essay to the exhibition is \u003Ca href=\u0022https:\/\/www.e-flux.com\/architecture\/are-friends-electric\/289193\/homophily-the-urban-history-of-an-algorithm\/\u0022\u003Epublished\u003C\/a\u003E in e-flux Architecture.\u00a0\u003C\/p\u003E\n\u003Cp\u003EResearch for this exhibition was supported by the Andrew W. Mellon Foundation, the Canada 150 Research Chairs Program, and the Columbia Graduate School of Architecture, Planning and Preservation. With thanks Leslie Gill Architect for design consultation, and to the Columbia Rare Book and Manuscript Library, Harriet Zuckerman, Robert Lazarsfeld for assistance and reproduction permissions on archival materials.\u003C\/p\u003E\n\u003Cp\u003E\u003Cimg alt=\u0022\u0022 class=\u0022image-project-page-image img-responsive project-image-inline\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/project-page-image\/public\/CSR_2019_homophily_axo_view_alt-01.png?itok=gRIhLZvY\u0022 \/\u003EIn collaboration with:\u003C\/p\u003E\n\u003Cp\u003EWendy Hui Kyong Chun, Canada 150 Research Chair in New Media and Professor of Communication, Simon Fraser University\u003C\/p\u003E\n\u003Cp\u003EGraduate Research Assistants: Alanna Browdy, Rebecca Cook, Audrey Dandenault, Tola Oniyangi, Andrea Partenio, Juvaria Shahid\u003C\/p\u003E\n\u003Cp\u003EGraphic Design: Studio TheGreenEyl\u003C\/p\u003E\n"}]},"field_project_category":{"und":[{"tid":"1"}]},"field_project_tags":[],"field_project_images2":{"und":[{"fid":"1002","uid":"39","filename":"CSR04_Cory DeWald.jpg","uri":"public:\/\/CSR04_Cory DeWald_0.jpg","filemime":"image\/jpeg","filesize":"4718811","status":"1","timestamp":"1574879774","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1997,"width":3000},"height":"1997","width":"3000","alt":"Courtesy Chicago Architecture Biennial \/ Cory DeWald, 2019","title":""},{"fid":"1003","uid":"39","filename":"CSR_2019_homophily_concordance.png","uri":"public:\/\/CSR_2019_homophily_concordance.png","filemime":"image\/png","filesize":"1579667","status":"1","timestamp":"1574879774","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1878,"width":3438},"height":"1878","width":"3438","alt":"","title":""},{"fid":"1004","uid":"39","filename":"CSR_2019_homophily_install1.jpg","uri":"public:\/\/CSR_2019_homophily_install1.jpg","filemime":"image\/jpeg","filesize":"8341172","status":"1","timestamp":"1574879774","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":3761,"width":5266},"height":"3761","width":"5266","alt":"","title":""},{"fid":"1005","uid":"39","filename":"CSR_2019_homophily_install_abstract.JPG","uri":"public:\/\/CSR_2019_homophily_install_abstract.JPG","filemime":"image\/jpeg","filesize":"794654","status":"1","timestamp":"1574879774","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":2268,"width":3024},"height":"2268","width":"3024","alt":"","title":""}]},"field_software_tags":[],"field_additional_people":[],"field_project_files":[],"field_project_contact":{"und":[{"email":"info@c4sr.columbia.edu"}]},"field_project_videos":[],"field_more_images":[],"field_make_slideshow_2":{"und":[{"value":"1"}]},"field_more_videos":[],"field_additional_project_text":{"und":[{"value":"\u003Cp\u003EAn exhibit focusing on the urban origins of the term homophily, its formalization and proliferation through the algorithmic logics of online networks, and the risks we run when it becomes not just a descriptive model but a prescriptive rule for social life. On view at the Chicago Architecture Biennial September 18,2019 \u2013 January 5, 2020.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EAn exhibit focusing on the urban origins of the term homophily, its formalization and proliferation through the algorithmic logics of online networks, and the risks we run when it becomes not just a descriptive model but a prescriptive rule for social life. On view at the Chicago Architecture Biennial September 18,2019 \u2013 January 5, 2020.\u003C\/p\u003E\n"}]},"field_project_date":{"und":[{"value":"2019-01-01 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_lead_image":{"und":[{"fid":"1000","uid":"39","filename":"CSR04_Cory DeWald.jpg","uri":"public:\/\/CSR04_Cory DeWald.jpg","filemime":"image\/jpeg","filesize":"4718811","status":"1","timestamp":"1574879774","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1997,"width":3000},"height":"1997","width":"3000","alt":"","title":""}]},"field_intro_text":[],"field_publication_links":[],"field_black_dots_in_slideshow_na":{"und":[{"value":"0"}]},"field_initiative":{"und":[{"tid":"78"}]},"field_themes":{"und":[{"tid":"94"},{"tid":"81"},{"tid":"87"}]},"field_methods":{"und":[{"tid":"105"},{"tid":"110"},{"tid":"99"}]},"field_one_sentence_description":{"und":[{"value":"An installation for the 2019 Chicago Architecture Biennial","format":null,"safe_value":"An installation for the 2019 Chicago Architecture Biennial"}]},"field_project_team_v2":{"und":[{"value":"186","revision_id":"186"},{"value":"187","revision_id":"187"},{"value":"188","revision_id":"188"},{"value":"189","revision_id":"189"}]},"field_inline_images":{"und":[{"fid":"1001","uid":"39","filename":"CSR_2019_homophily_axo_view_alt-01.png","uri":"public:\/\/CSR_2019_homophily_axo_view_alt-01.png","filemime":"image\/png","filesize":"514568","status":"1","timestamp":"1574879774","type":"image","field_image_caption":[],"field_file_image_alt_text":[],"field_file_image_title_text":[],"metadata":{"height":1250,"width":1875},"height":"1250","width":"1875","alt":"","title":""}]},"field_make_slideshow_":{"und":[{"value":"1"}]},"field_related_projects":[],"field_related_publications":[],"field_project_website_link":[],"field_dashboard_sort_date":{"und":[{"value":"2019-09-18 00:00:00","timezone":"America\/New_York","timezone_db":"America\/New_York","date_type":"datetime"}]},"field_project_gifs":[],"path":"projects\/homophily-urban-history-algorithm","name":"dare","picture":"0","data":"a:5:{s:16:\u0022ckeditor_default\u0022;s:1:\u0022t\u0022;s:20:\u0022ckeditor_show_toggle\u0022;s:1:\u0022t\u0022;s:14:\u0022ckeditor_width\u0022;s:4:\u0022100%\u0022;s:13:\u0022ckeditor_lang\u0022;s:2:\u0022en\u0022;s:18:\u0022ckeditor_auto_lang\u0022;s:1:\u0022t\u0022;}","caption":"Homophily: the Urban History of an Algorithm","target_blank":false,"carousel_image":"\u003Cimg class=\u0022img-responsive\u0022 src=\u0022https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/csr_carousel_large\/public\/CSR04_Cory%20DeWald.jpg?itok=GIA77zzM\u0022 width=\u0022980\u0022 height=\u0022500\u0022 alt=\u0022\u0022 \/\u003E","initiative":"Conflict Urbanism","sort_date":"2019","pub_link":"","pub_pdf":"","email":"","image_large":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/c4sr_large_inline_slideshow_980x500\/public\/CSR04_Cory%20DeWald.jpg?itok=N7p99lF8","image_small":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/homepage-400x300\/public\/CSR04_Cory%20DeWald.jpg?itok=PldB569J","image_square":"https:\/\/c4sr.columbia.edu\/sites\/default\/files\/styles\/square-crop-for-button\/public\/CSR04_Cory%20DeWald.jpg?itok=Yos_5iOa"},"node_path_alias":"projects\/homophily-urban-history-algorithm"},{"nid":"510","access":true,"node":{"vid":"510","uid":"39","title":"Mapping the New Politics of Care","log":"","status":"1","comment":"0","promote":"0","sticky":"0","nid":"510","type":"project","language":"und","created":"1603749760","changed":"1665087080","tnid":"0","translate":"0","revision_timestamp":"1665087080","revision_uid":"147","field_description":{"und":[{"value":"\u003Cp\u003E\u003Ca href=\u0022http:\/\/newpoliticsofcare.net\u0022\u003EMapping the New Politics of Care\u003C\/a\u003E links the effects of COVID-19 in the United States with a wide range of social, economic, and environmental conditions.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIt compares four indexes of vulnerability alongside COVID-19 data and presents multiple options for addressing the effects of the pandemic with a Community Health Corps.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThese conditions and vulnerabilities predated the pandemic and created the conditions for the virus to flourish in this country. The map displays the acute inequalities embedded in the social and political landscape of the United States. This pandemic is not simply biological. It is a symptom of an illness in our body politic. As SARS-CoV-2 roars across the country, it is following the fault lines of social vulnerability.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAs the \u003Ca href=\u0022https:\/\/www.nytimes.com\/interactive\/2020\/07\/05\/us\/coronavirus-latinos-african-americans-cdc-data.html\u0022\u003ENew York Times\u003C\/a\u003E reported in July 2020, \u201cBlack and Latino people have been disproportionately affected by the coronavirus in a widespread manner that spans the country, throughout hundreds of counties in urban, suburban and rural areas, and across all age groups.\u201dRepairing the wounds of this pandemic means confronting the policy decisions made long ago that have led us to this moment. As we try to combat this disease, we have to think more broadly about rebuilding health from the ground up in the United States.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe project builds on a series of essays on \u003Ca href=\u0022http:\/\/bostonreview.net\/politics\/gregg-gonsalves-amy-kapczynski-new-politics-care\u0022\u003Ea new politics of care\u003C\/a\u003E written by our collaborators, Gregg Gonsalves and Amy Kapczynski at the \u003Ca href=\u0022https:\/\/law.yale.edu\/ghjp\u0022\u003EYale Global Health Justice Partnership\u003C\/a\u003E (GHJP) of the Yale Law School and Yale School of Public Health. Together CSR and the GHJP are calling for a New Deal for Public Health, which addresses the acute needs of the pandemic response but also makes a larger national commitment to lifting up the health of our communities, protects the public\u2019s health, and confronts the legacy of vulnerabilities that existed before the emergence of SARS-CoV-2.\u0026nbsp; A new Community Health Corps must be integrated into our communities, providing economic support and social services to start to undo the vulnerabilities that plague us. We call this a new politics of care.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe Community Health Corps should be deployed across the United States. This map poses a series of questions and demands a set of options about how these care workers might be distributed to states and to counties within each state. Making these decisions responsibly requires confronting and addressing not just the virus and the disease but also the inequalities and vulnerabilities that underlie and propel this pandemic.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022http:\/\/newpoliticsofcare.net\/\u0022\u003EExplore the project here.\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003E\u003Ca href=\u0022http:\/\/newpoliticsofcare.net\u0022\u003EMapping the New Politics of Care\u003C\/a\u003E links the effects of COVID-19 in the United States with a wide range of social, economic, and environmental conditions.\u003C\/p\u003E\n\u003Cp\u003EIt compares four indexes of vulnerability alongside COVID-19 data and presents multiple options for addressing the effects of the pandemic with a Community Health Corps.\u003C\/p\u003E\n\u003Cp\u003EThese conditions and vulnerabilities predated the pandemic and created the conditions for the virus to flourish in this country. The map displays the acute inequalities embedded in the social and political landscape of the United States. This pandemic is not simply biological. It is a symptom of an illness in our body politic. As SARS-CoV-2 roars across the country, it is following the fault lines of social vulnerability.\u003C\/p\u003E\n\u003Cp\u003EAs the \u003Ca href=\u0022https:\/\/www.nytimes.com\/interactive\/2020\/07\/05\/us\/coronavirus-latinos-african-americans-cdc-data.html\u0022\u003ENew York Times\u003C\/a\u003E reported in July 2020, \u201cBlack and Latino people have been disproportionately affected by the coronavirus in a widespread manner that spans the country, throughout hundreds of counties in urban, suburban and rural areas, and across all age groups.\u201dRepairing the wounds of this pandemic means confronting the policy decisions made long ago that have led us to this moment. As we try to combat this disease, we have to think more broadly about rebuilding health from the ground up in the United States.\u003C\/p\u003E\n\u003Cp\u003EThe project builds on a series of essays on \u003Ca href=\u0022http:\/\/bostonreview.net\/politics\/gregg-gonsalves-amy-kapczynski-new-politics-care\u0022\u003Ea new politics of care\u003C\/a\u003E written by our collaborators, Gregg Gonsalves and Amy Kapczynski at the \u003Ca href=\u0022https:\/\/law.yale.edu\/ghjp\u0022\u003EYale Global Health Justice Partnership\u003C\/a\u003E (GHJP) of the Yale Law School and Yale School of Public Health. Together CSR and the GHJP are calling for a New Deal for Public Health, which addresses the acute needs of the pandemic response but also makes a larger national commitment to lifting up the health of our communities, protects the public\u2019s health, and confronts the legacy of vulnerabilities that existed before the emergence of SARS-CoV-2.\u00a0 A new Community Health Corps must be integrated into our communities, providing economic support and social services to start to undo the vulnerabilities that plague us. We call this a new politics of care.\u003C\/p\u003E\n\u003Cp\u003EThe Community Health Corps should be deployed across the United States. This map poses a series of questions and demands a set of options about how these care workers might be distributed to states and to counties within each state. 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The project is also designed to show visitors how the areas that appear most at risk within each state shifts depending on how vulnerability is measured: from COVID-19 cases to unemployment rates, from COVID-19 deaths to formal metrics of health vulnerability such as Years of Potential Life Lost and the Centers for Disease Control and Prevention\u2019s Social Vulnerability Index.\u003C\/p\u003E\r\n","format":"filtered_html","safe_value":"\u003Cp\u003EMapping the New Politics of Care is a visual journey through the inequities and vulnerabilities that define the American landscape, using different definitions to describe communities at risk, down to the county level. 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Focused on Philadelphia, PA, the analysis traces the new geographies of real estate purchases made specifically by investors who do not intend to live in the homes they are buying. The project uses a mixed methods approach to uncover how houses purchased as investment vehicles between 2000-2018 have been concentrated spatially, then compares these patterns with the geography of houses that have been purchased as homes.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe research shows that investors have consistently focused their efforts on Philadelphia neighborhoods with a higher proportion of residents of color and lower incomes. As well, over the nineteen-year span covered by the data, it is clear that investor activity not only played a large role in the housing bubble in Philadelphia, but is also continuing to grow as a percentage of overall purchases, and is expanding into new areas of the city. 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