{"id":399668,"date":"2017-07-13T13:00:39","date_gmt":"2017-07-13T20:00:39","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/?p=399668"},"modified":"2017-07-14T07:22:22","modified_gmt":"2017-07-14T14:22:22","slug":"transportation-data-science-microsoft","status":"publish","type":"post","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/blog\/transportation-data-science-microsoft\/","title":{"rendered":"Transportation Data Science at Microsoft"},"content":{"rendered":"<div id=\"attachment_399698\" style=\"width: 1265px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-399698\" class=\"size-full wp-image-399698\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_2.jpg\" alt=\"\" width=\"1255\" height=\"539\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_2.jpg 1255w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_2-300x129.jpg 300w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_2-768x330.jpg 768w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_2-1024x440.jpg 1024w\" sizes=\"auto, (max-width: 1255px) 100vw, 1255px\" \/><p id=\"caption-attachment-399698\" class=\"wp-caption-text\">West Hub Steering Committee Member Professor Kristin Tufte moderates a panel at the launch of the National Transportation Data Challenge in Seattle, May 2017.<\/p><\/div>\n<p><em>By <a href=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/people\/vanim\/#\">Vani Mandava<\/a>, Director, Data Science Outreach, Microsoft Research<\/em><\/p>\n<p>The National Science Foundation (NSF)-supported Big Data Innovation Hubs launched a <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/bigdatahubs.io\/\">National Transportation Data Challenge<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> with a kickoff event in Seattle in May 2017. Microsoft Outreach, through its <a href=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/blog\/nsf-big-data-innovation-hubs-collaboration\/\">partnership<\/a> with the Big Data Hubs organized an Azure workshop and participated in a <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/x.com\/uwescience\/status\/859819014775689216\">panel discussion<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> on \u2018How Cloud Computing Can Enable Transportation Data Science.\u2019 The kickoff was the first in a series of events that are being organized across the US to launch this challenge. It is an activity that spans all four hubs, and is expected to reach all 50 states. Several teams across Microsoft contributed ideas on recent or ongoing work on transportation data science. Below is a summary of the all the contributions that were part of the event.<\/p>\n<ul>\n<li>Microsoft\u2019s engagement with the Challenge builds upon a foundation of prior work in public safety and metro data science. The Challenge launch event highlighted a collaboration between Microsoft\u2019s Civic Technology Engagement (CTE) group within the Corporate, External and Legal Affairs (CELA) team and <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/www.datakind.org\/\">DataKind<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/www.seattle.gov\/visionzero\">Vision Zero<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>, the New York City Department of Transportation, Seattle Department of Transportation, and the City of New Orleans\u2019 Office of Performance and Accountability. The project enabled an ecosystem that <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/blogs.microsoft.com\/newyork\/2017\/06\/29\/vision-zero-labs-using-data-science-to-improve-traffic-safety\/\">helped cities <span class=\"sr-only\"> (opens in new tab)<\/span><\/a>assign limited resources to prioritized traffic safety issues. \u00a0Adam Hecktman and Kevin Wei from the CELA CTE team also built a cool interactive Power BI dashboard that demonstrates and visualizes <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/msit.powerbi.com\/view?r=eyJrIjoiZGMyN2RkMmEtOGNmMS00OTMxLWEyOGEtNTcxZjE4ZDdjNzk2IiwidCI6IjcyZjk4OGJmLTg2ZjEtNDFhZi05MWFiLTJkN2NkMDExZGI0NyIsImMiOjV9\">300M+ bike rides in the city of Chicago<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>.<\/li>\n<li>Microsoft Research\u2019s <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/www.ite.org\/visionzero\/videoanalytics\/\">Video Analytics Towards Vision Zero<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> was represented on the panel by Franz Loewenherz, City of Bellevue, and was mentioned by both Daniel Morgan (Chief Data Officer, USDOT), and former governor, Chris Gregoire. On June 1<sup>st<\/sup>, Bellevue officially launched the Video Analytics Towards Vision Zero crowdsourcing initiative. In a collaboration with organizations across North America, Bellevue, the University of Washington and Microsoft are asking for the public&#8217;s help analyzing traffic camera footage to teach computers how to identify and track people using wheelchairs, bikes, and other modes of transportation as they navigate intersections. The more people who go online, the better we can \u201cteach\u201d computers to scan traffic videos and recognize near-collision events (see <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/bellevuewa.gov\/cms\/One.aspx?portalId=4779088&pageId=8331725\">City of Bellevue Media Release<span class=\"sr-only\"> (opens in new tab)<\/span><\/a>). Microsoft Research scientists leading this effort are <a href=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/people\/bahl\/\">Victor Bahl<\/a> and <a href=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/people\/ga\/\">Ganesh Ananthnarayanan<\/a>.<\/li>\n<li>Wee Hyong Tok, Principal Data Science Manager in the Cloud AI Platform group built an Azure Machine Learning based predictive model for incident severity reporting based on the National Highway Traffic Safety Administration (NHTSA) Fatality Analysis Reporting System (FARS) data. The model has an accuracy of 68% and can be used to provide a <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/www.slideshare.net\/vanimt\/fars-dataset-azure-machine-learning-model\">baseline model<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> for participants. Additionally, Patrick Baumgartner and the PowerBI team built a compelling interactive <a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"https:\/\/app.powerbi.com\/view?r=eyJrIjoiNjZlMWVlYjQtNTdlNy00MWM1LTk0NmQtNjE0ZTQ0NGUyYjc5IiwidCI6IjU3NGMzZTU2LTQ5MjQtNDAwNC1hZDFhLWQ4NDI3ZTdkYjI0MSIsImMiOjZ9&numericSlicerEnabled=1\">PowerBI visualization<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> based on the dataset not only demonstrate analyses, various correlations but also dive deeper into visualizing point of impact and seating position.<\/li>\n<li>Transportation Data Science efforts extend beyond the United States. Andrew Bradley, Principal Solution Specialist on the Microsoft UK Enterprise and Partner Group (EPG), shared how the UK team is engaged with the Department of Transport, UK, and are actively encouraging innovation in the region by supporting events, hackathons and challenges.<\/li>\n<\/ul>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/aka.ms\/mcvp\">Microsoft\u2019s Connected Vehicle Platform<span class=\"sr-only\"> (opens in new tab)<\/span><\/a> recognizes the digital transformation that is reshaping the automotive industry (100% of new cars by 2030 are projected to be connected) and is investing in building extensible, global, and scalable automotive solutions in partnership with organizations such as Nissan, Volvo, and BMW.<\/li>\n<\/ul>\n<p>We look forward to engaging with the transportation data science community as the National Transportation Data Challenge takes shape over the coming months.<\/p>\n<p><strong>Learn more<\/strong><\/p>\n<ul>\n<li><a href=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/blog\/microsoft-boosts-nsfs-big-data-regional-innovation-hubs-3m-cloud-computing-credits\/\">Microsoft boosts NSF\u2019s Big Data Regional Innovation Hubs with $3M in cloud computing credits<\/a><\/li>\n<li><a href=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/blog\/nsf-big-data-innovation-hubs-collaboration\/\">NSF Big Data Innovation Hubs collaboration \u2014 looking back after one year<\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/www.nsf.gov\/news\/news_summ.jsp?cntn_id=136784\">National Science Foundation Big Data Regional Innovation Hubs<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/westbigdatahub.org\/\">West Big Data Innovation Hub<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<li class=\"\"><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" target=\"_blank\" href=\"http:\/\/research.microsoft.com\/en-us\/projects\/azure\/\">Azure for Research<span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>By Vani Mandava, Director, Data Science Outreach, Microsoft Research The National Science Foundation (NSF)-supported Big Data Innovation Hubs launched a National Transportation Data Challenge with a kickoff event in Seattle in May 2017. Microsoft Outreach, through its partnership with the Big Data Hubs organized an Azure workshop and participated in a panel discussion on \u2018How [&hellip;]<\/p>\n","protected":false},"author":36509,"featured_media":399680,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[],"msr_hide_image_in_river":0,"footnotes":""},"categories":[194453,194474,194455],"tags":[],"research-area":[13563],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-399668","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-science","category-data-visulalization","category-machine-learning","msr-research-area-data-platform-analytics","msr-locale-en_us"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[199565],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[204065,204068],"related-groups":[],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","featured_image_thumbnail":"<img width=\"655\" height=\"280\" src=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_655x280.jpg\" class=\"img-object-cover\" alt=\"a group of people sitting at a table in front of a crowd\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_655x280.jpg 655w, https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-content\/uploads\/2017\/07\/transportation-data-science-at-microsoft_featured-image_655x280-300x128.jpg 300w\" sizes=\"auto, (max-width: 655px) 100vw, 655px\" \/>","byline":"","formattedDate":"July 13, 2017","formattedExcerpt":"By Vani Mandava, Director, Data Science Outreach, Microsoft Research The National Science Foundation (NSF)-supported Big Data Innovation Hubs launched a National Transportation Data Challenge with a kickoff event in Seattle in May 2017. Microsoft Outreach, through its partnership with the Big Data Hubs organized an&hellip;","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/posts\/399668","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/users\/36509"}],"replies":[{"embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/comments?post=399668"}],"version-history":[{"count":12,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/posts\/399668\/revisions"}],"predecessor-version":[{"id":400160,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/posts\/399668\/revisions\/400160"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media\/399680"}],"wp:attachment":[{"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/media?parent=399668"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/categories?post=399668"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/tags?post=399668"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=399668"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=399668"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=399668"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=399668"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=399668"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=399668"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=399668"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=399668"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}