{"id":813,"date":"2013-12-17T09:07:00","date_gmt":"2013-12-17T09:07:00","guid":{"rendered":"https:\/\/blogs.msdn.microsoft.com\/msr_er\/2013\/12\/17\/microsoft-research-asia-funds-cloud-computing-for-urban-studies\/"},"modified":"2016-07-20T07:30:44","modified_gmt":"2016-07-20T14:30:44","slug":"microsoft-research-asia-funds-cloud-computing-for-urban-studies","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/research\/blog\/microsoft-research-asia-funds-cloud-computing-for-urban-studies\/","title":{"rendered":"Microsoft Research Asia funds cloud computing for urban studies"},"content":{"rendered":"<p><span style=\"font-family: verdana,geneva; font-size: medium;\">The world is becoming more urban. The movement of populations from rural to city life is nothing new in the developed countries of Europe and North America, but it has greatly accelerated in the rapidly developing countries of Asia. In China, for example, the percentage of urban dwellers has swelled from less than 30 percent in 1980 to over 50 percent&mdash;and growing&mdash;today. Given the rapid growth of cities in the developing world, the United Nations estimated that in 2008, for the first time in history, more than half of the world&rsquo;s population resided in urban areas.<\/span><\/p>\n<p><span style=\"font-family: verdana,geneva; font-size: medium;\">Rapid urbanization poses challenges, as growing cities strive to deliver services, maintain a safe and healthful environment, and promote a vibrant economy. Meetings these challenges requires actions based on the collection, analysis, and modeling of reliable data, a need that has given rise to the field of urban informatics. Think of it as the big data of big cities.<\/span><\/p>\n<p style=\"text-align: center;\"><img decoding=\"async\" title=\"Using big data to tackle big challenges cities face\" src=\"https:\/\/msdnshared.blob.core.windows.net\/media\/MSDNBlogsFS\/prod.evol.blogs.msdn.com\/CommunityServer.Blogs.Components.WeblogFiles\/00\/00\/01\/32\/81\/6888.MSRA-cloudcomputing-urbanstudies496x374.png\" original-url=\"http:\/\/blogs.msdn.com\/resized-image.ashx\/__size\/496x0\/__key\/communityserver-blogs-components-weblogfiles\/00-00-01-32-81\/6888.MSRA_2D00_cloudcomputing_2D00_urbanstudies496x374.png\" alt=\"Using big data to tackle big challenges cities face\" \/><br \/><span style=\"font-family: verdana,geneva; font-size: small; color: #808080;\">Using big data to tackle big challenges cities face<\/span><\/p>\n<p><span style=\"font-family: verdana,geneva; font-size: medium;\">Crunching big data is one of the strengths of cloud computing, and Windows Azure, the cloud-computing platform from Microsoft, offers tremendous potential in urban informatics. With this in mind, earlier this year Microsoft Research Asia issued an invitation for proposals that use Windows Azure to accelerate urban informatics, with the winning proposals receiving grants that support the research for at least a year. <\/span><\/p>\n<p><span style=\"font-family: verdana,geneva; font-size: medium;\"><a name=\"Back\"><\/a>After evaluating 60 proposals from 34 Asian universities and institutions, the Microsoft Research Asia team has selected <a href=\"#funded-projects\">25 projects<\/a> for funding. The winning projects cover a broad spectrum of urban informatics research, from enhancing transportation, to mapping city noise, to preserving the privacy of urbanites and even tracking social happiness. The winning projects come from institutions throughout East Asia, including those in China, Hong Kong, Japan, Korea, and Singapore. All results arising from the funded projects will be broadly available, either in the public domain or under a non-restrictive license that allows modification and redistribution without significant restrictions or conditions.<\/span><\/p>\n<p><span style=\"font-family: verdana,geneva; font-size: medium;\">We&rsquo;re delighted to be funding these important studies, the results of which, we hope, will make city life more livable in years ahead.<\/span><\/p>\n<p><em><span style=\"font-family: verdana,geneva; font-size: medium;\">&mdash;Kangping Liu, Senior Manager, Microsoft Research Connections Asia <\/span><\/em><\/p>\n<p><strong><span style=\"font-family: verdana,geneva; font-size: medium;\">Learn more<\/span><\/strong><\/p>\n<ul>\n<li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" rel=\"noopener noreferrer\" href=\"http:\/\/research.microsoft.com\/en-us\/projects\/azure\/default.aspx\" target=\"_blank\"><span style=\"font-family: verdana,geneva; font-size: small;\">Windows Azure for Research<\/span><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\" href=\"http:\/\/www.windowsazure.com\/en-us\/\" target=\"_blank\"><span style=\"font-family: verdana,geneva; font-size: small;\">Windows Azure<\/span><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\" href=\"http:\/\/research.microsoft.com\/en-us\/labs\/asia\/\" target=\"_blank\"><span style=\"font-family: verdana,geneva; font-size: small;\">Microsoft Research Asia<\/span><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\" href=\"http:\/\/research.microsoft.com\/en-us\/collaboration\/global\/asia-pacific\/default.aspx\" target=\"_blank\"><span style=\"font-family: verdana,geneva; font-size: small;\">Microsoft Research Connections in Asia Pacific&nbsp;<\/span><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li>\n<\/ul>\n<p><strong><span style=\"font-family: verdana,geneva; font-size: medium;\"><a name=\"funded-projects\"><\/a>Funded projects<\/span><\/strong><\/p>\n<ul>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Guangzhong Sun, University of Science and Technology of China (China): <strong>Smart campus construction based on rich campus datasets<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Han-Lim Choi, Korea Advanced Institute of Science and Technology (Korea): <strong>Scalable Gaussian Process-Enabled Bayesian Inference for Sensor Networks in Smart Buildings<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Hojung Cha, Yonsei University (Korea): <strong>Development of a CrowdSensing Framework for Inducing User Participation in Urban Environments<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Hong Cheng, Chinese University of Hong Kong (Hong Kong): <strong>Optimal Point of Interest Routing in a Urban Environment<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Huayi Wu, Wuhan University (China): <strong>Collaborative Geoprocessing on Windows Azure<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Hwasoo Yeo, Korea Advanced Institute of Science and Technology (Korea): <strong>Smart phone based Urban Travel Pattern Analysis and Prediction with Online Traffic Simulator<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Janny Leung, Chinese University of Hong Kong (Hong Kong): <strong>Back to the Future: Sense-and-Respond Public Transit for Historic Urban Centres<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Jitao Sang, Institute of Automation, Chinese Academy of Sciences (China): <strong>Cyber-Physical Footprint Association for Urban Computing<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Joon Heo, Yonsei University (Korea): <strong>Does &lsquo;Gangnam Style&rsquo; really exist? Answers from data science perspective<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Jun Ma, Shandong University (China): <strong>Urban lifestyles Detection based on Big Heterogeneous Human Behavioral Data<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Kohei Matsumura, Future University of Hakodate (Japan): <strong>A multimodal approach for in-car conversation sharing<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Lei Chen, Hong Kong University of Science and Technology (Hong Kong): <strong>Urban Traffic Monitoring-based Mobile Crowdsourcing<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Lei Zou, Peking University (China): <strong>Graph Data Management in Urban Computing<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Long Quan, Hong Kong University of Science and Technology (Hong Kong): <strong>Large-scale Three-dimensional Urban Reconstruction<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Rajesh Balan, Singapore Management University (Singapore): <strong>Building a Practical Location System for Tracking Consumer Movement in Indoor Public Spaces<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Soobin Lee, Korea Advanced Institute of Science and Technology (Korea): <strong>Waste Management Planning based on Multi-Sensor Data Fusion<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Tai-Quan Peng, Nanyang Technological University (Singapore): <strong>Tracking Dynamics of Social Happiness on Twitter: a Multi-level Study<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Victor Li, University of Hong Kong (Hong Kong): <strong>A Big Data Stream Processing Solution for Hidden Causality Detection of Urban Dynamics<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Xiaokui Xiao, Nanyang Technological University (Singapore): <strong>Preserving Individual Privacy in Urban Informatics<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Xueming Qian, Xi&#8217;an Jiaotong University (China): <strong>Schedule travel life by exploring spectrums of social user and city services<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Yanmin Zhu, Shanghai Jiao Tong University (China): <strong>NoiseSense: Crowdsourcing-Based Urban Noise Mapping with Smartphones<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Ying-Qing Xu, Tsinghua University (China), Stephen Jia Wang, Monash University (Australia): <strong>Intelligent Sustainable Navigation Services (ISUNS): To Enhance Eco-Efficiency for Urban Transportation by Adopting Clouds and Pervasive Computing Technologies<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Yuguo LI, University of Hong Kong (Hong Kong): <strong>SmartComfort&mdash;Use of smartphone and cloud technologies for building thermal comfort, and ventilation and health studies in megacities<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Zhiwen Yu, Northwestern Polytechnical University (China): <strong>Understanding City Interest and Sentiment Leveraging Crowdsourced Digital Footprints from LBSNs<\/strong><\/span><\/li>\n<li><span style=\"font-family: verdana,geneva; font-size: small;\">Zongjian He, Tongji University (China): <strong>Community Sensing-Based Green Driving System Using Smartphones<\/strong><\/span><\/li>\n<\/ul>\n<p><span style=\"font-family: verdana,geneva; font-size: medium;\"><a href=\"#Back\">Back to blog<\/a><br \/><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The world is becoming more urban. The movement of populations from rural to city life is nothing new in the developed countries of Europe and North America, but it has greatly accelerated in the rapidly developing countries of Asia. In China, for example, the percentage of urban dwellers has swelled from less than 30 percent [&hellip;]<\/p>\n","protected":false},"author":32627,"featured_media":0,"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":[1],"tags":[195438,195735,196100,196432,196439,187285,197657,197659,197660,187239],"research-area":[],"msr-region":[],"msr-event-type":[],"msr-locale":[268875],"msr-post-option":[],"msr-impact-theme":[],"msr-promo-type":[],"msr-podcast-series":[],"class_list":["post-813","post","type-post","status-publish","format-standard","hentry","category-research-blog","tag-east-asia","tag-grants","tag-kangping-liu","tag-microsoft-research-asia","tag-microsoft-research-connections","tag-research","tag-urban-informatics","tag-urban-studies","tag-urbanization","tag-windows-azure","msr-locale-en_us"],"msr_event_details":{"start":"","end":"","location":""},"podcast_url":"","podcast_episode":"","msr_research_lab":[],"msr_impact_theme":[],"related-publications":[],"related-downloads":[],"related-videos":[],"related-academic-programs":[],"related-groups":[],"related-projects":[],"related-events":[],"related-researchers":[],"msr_type":"Post","byline":"","formattedDate":"December 17, 2013","formattedExcerpt":"The world is becoming more urban. The movement of populations from rural to city life is nothing new in the developed countries of Europe and North America, but it has greatly accelerated in the rapidly developing countries of Asia. In China, for example, the percentage&hellip;","locale":{"slug":"en_us","name":"English","native":"","english":"English"},"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/813","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/users\/32627"}],"replies":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/comments?post=813"}],"version-history":[{"count":1,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/813\/revisions"}],"predecessor-version":[{"id":261264,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/posts\/813\/revisions\/261264"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=813"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/categories?post=813"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/tags?post=813"},{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=813"},{"taxonomy":"msr-region","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-region?post=813"},{"taxonomy":"msr-event-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-event-type?post=813"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=813"},{"taxonomy":"msr-post-option","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-post-option?post=813"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=813"},{"taxonomy":"msr-promo-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-promo-type?post=813"},{"taxonomy":"msr-podcast-series","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-podcast-series?post=813"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}