{"id":286754,"date":"2015-07-01T08:55:00","date_gmt":"2015-07-01T15:55:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&p=286754"},"modified":"2024-10-08T19:01:53","modified_gmt":"2024-10-09T02:01:53","slug":"social-computing-beijing","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/social-computing-beijing\/","title":{"rendered":"Social Computing (Asia)"},"content":{"rendered":"
In Microsoft Research Asia’s Social Computing Group, we blend computer science with social science to explore AI’s societal impact. Our interdisciplinary research probes AI’s effects on human life, including work, education, communication, governance, and culture. Our aim is to comprehend and influence AI’s consequences, aligning it with human values while ensuring safety, reliability, and transparency.<\/p>\n","protected":false},"excerpt":{"rendered":"
In the Social Computing Group of Microsoft Research Asia (MSRA), we engage in interdisciplinary research which intersects computer science with social science, psychology and cognitive science. Based on large scale human behavioral data on various heterogeneous social platforms, we aim to gain an in depth understanding of users and provide them with intelligent and personalize online experience. Our current research focus is on user modeling, recommendation system, spatio-temporal data mining, graph data mining, emotion analysis, and personalized chat. Our team is well-known in the fields of social computing, ubiquitous computing and data mining. Also over the years, we have been closely collaborating with various AI product teams in Microsoft.<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556,13563,13559],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-286754","msr-group","type-msr-group","status-publish","hentry","msr-research-area-artificial-intelligence","msr-research-area-data-platform-analytics","msr-research-area-social-sciences","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199560,1012650],"related-researchers":[{"type":"user_nicename","display_name":"Haotian Li","user_id":43593,"people_section":"Group 1","alias":"haotianli"},{"type":"user_nicename","display_name":"Jianxun Lian","user_id":38470,"people_section":"Group 1","alias":"jialia"},{"type":"user_nicename","display_name":"Fangzhao Wu","user_id":36473,"people_section":"Group 1","alias":"fangzwu"},{"type":"user_nicename","display_name":"Xing Xie","user_id":34906,"people_section":"Group 1","alias":"xingx"},{"type":"user_nicename","display_name":"Jing Yao","user_id":41925,"people_section":"Group 1","alias":"jingyao"},{"type":"user_nicename","display_name":"Xiaoyuan Yi","user_id":40768,"people_section":"Group 1","alias":"xiaoyuanyi"}],"related-publications":[981105],"related-downloads":[],"related-videos":[],"related-projects":[239300,338999,239327,242036],"related-events":[],"related-opportunities":[1059345],"related-posts":[900798,904143],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/286754","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":12,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/286754\/revisions"}],"predecessor-version":[{"id":1091562,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/286754\/revisions\/1091562"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=286754"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=286754"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=286754"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=286754"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=286754"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}