![\"urbanair_getworse_small\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/urbanair_getworse_small.gif\")
<\/p>\n![\"urbanair_2dbarcode_urbanair\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/urbanair_2dbarcode_urbanair-300x300.png\")
![\"urbanair_framework\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/urbanair_framework.jpg\")
<\/p>\n![\"urbanair_flyer-forecast\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/urbanair_flyer-forecast.png\")
<\/p>\n![\"urbanair_changing_coverage\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/urbanair_changing_coverage.gif\")
<\/span><\/span><\/p>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/li>\n\t\t![\"urbanair_station-selection\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/urbanair_station-selection.png\")
<\/span><\/span><\/p>\n![\"\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/flyer-air-pollution-causality.png\")
<\/p>\n- \r\n \t
- China Daily: Microsoft, IBM eye Technology to forecast air pollution in China<\/a>. 2016.1.19<\/li>\r\n \t
- \u4e2d\u56fd\u79d1\u6280\u62a5\uff1a\u73af\u5883\u4ece\u6cbb\u7406\u8d70\u5411\u667a\u7406<\/a>, 2016.1.11<\/li>\r\n \t
- NBC News: Microsoft, IBM Eye Big Business Opportunity in China's Air Pollution<\/a>. 2015.12.28<\/li>\r\n \t
- Reuters: Tech giants spot opportunity in forecasting China's smog<\/a>, 2015.12.28<\/li>\r\n \t
- \u4e2d\u56fd\u73af\u5883\u62a5\uff1a\u9884\u6d4b\u96fe\u973e\uff0c\u5927\u6570\u636e\u80fd\u5e2e\u4ec0\u4e48\u5fd9\uff1f<\/a>\uff0c2015.12.14<\/li>\r\n \t
- GeekWire Reporter: What Microsoft Research is doing to help Beijing air pollution<\/a>. 2015.11.30<\/li>\r\n \t
- ComputerWorld: Microsoft predicts China's air pollution with data analysis<\/a>, 2015.6.11<\/li>\r\n \t
- \u9999\u6e2f\u660e\u62a5\uff1a\u5fae\u8edf\u5927\u6578\u64da\u5206\u6790 \u5be6\u6642\u76e3\u6e2c\u6e2f\u7a7a\u6c23<\/a> 2015.6.10<\/li>\r\n \t
- \u65b0\u534e\u7f51\uff1a \u5fae\u8f6f\u90d1\u5b87\uff1a\u5927\u6570\u636e\u89e3\u51b3\u57ce\u5e02\u4e2d\u7684\u5927\u6311\u6218<\/a>\u30022015.1.13<\/li>\r\n \t
- \u51e4\u51f0\u7f51\uff08\u4e13\u8bbf\uff09. \u5fae\u8f6f\u90d1\u5b87\uff1a\u5927\u6570\u636e\u53ef\u9884\u6d4b\u7a7a\u6c14\u6c61\u67d3 \u4eba\u4eba\u90fd\u662f\u79fb\u52a8\u4f20\u611f\u5668<\/a>. 2013.11.29<\/li>\r\n \t
- MIT\u79d1\u6280\u8bc4\u8bba\uff1a\u90d1\u5b87\u5165\u90092013\u5168\u740335\u4f4d35\u5c81\u4ee5\u4e0b\u6770\u51fa\u521b\u65b0\u8005\uff08TR35\uff09.<\/a>2013.8<\/li>\r\n<\/ul>\r\n<\/div>"},{"id":1,"name":"Acknowledgements","content":"
\r\nAcknowledgement<\/h2>\r\n<\/div>\r\n
\r\n\r\nWe\u00a0appreciate our\u00a0partners from Microsoft Product Teams who have been working with us closely in this project.\r\n\r\nSpecifically, Jacky Hsu, Qinying Liao\u00a0and\u00a0their team\u00a0from C+E division contribute YourWeather App. (WPhone-CN<\/a>; Android-CN<\/a>, IOS<\/a>)\r\n\r\nWe also appreciate our partners like Stella Ye and Sandy Qi\u00a0(from Bing)\u00a0who made\u00a0Urban Air available on Bing Map\u00a0http:\/\/cn.bing.com\/ditu\/<\/a>.\r\n\r\nThere are a few interns who have worked with us in the urban air project. We may not be able to list all of them here.\r\n\r\nYubiao Chen, Xuxu Chen, Hsun-Ping Hsieh, Furui Li, Zhenni Feng, Zhangqing Shang, Ruiyuan Li, Xiuwen Yi.\r\n\r\n<\/div>"}],"slides":[],"related-researchers":[],"msr_research_lab":[199560],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171316","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":10,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171316\/revisions"}],"predecessor-version":[{"id":477522,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/171316\/revisions\/477522"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=171316"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=171316"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=171316"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=171316"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=171316"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}} - \u4e2d\u56fd\u79d1\u6280\u62a5\uff1a\u73af\u5883\u4ece\u6cbb\u7406\u8d70\u5411\u667a\u7406<\/a>, 2016.1.11<\/li>\r\n \t
![\"urbanair_logo-04\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2014\/03\/urbanair_logo-04.png\"){kind=logo}
Using a diversity of big data to infer and predict fine-grained air quality throughout a city, and finally tackle air pollutions.<\/p>\n