The Social Computing Group at Microsoft Research Asia is dedicated to integrating computer science with social sciences, deeply exploring the profound impact of artificial intelligence on society and human behavior. Through interdisciplinary collaboration and research, we focus on the roles and challenges of AI in areas such as work, education, media, governance, and culture. Our goal is to profoundly understand and actively shape the development of AI to ensure its alignment with core human values, working together to build a safer and more transparent future. Our research areas encompass value alignment, AI safety, large model evaluation, copyright protection, computational sociology, and other cutting-edge fields, striving to lead innovation and transformation in the wave of AI.<\/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":[1162754,1162748,1144990,1144987,1136845,981105],"related-downloads":[],"related-videos":[],"related-projects":[239300,338999,239327,242036],"related-events":[],"related-opportunities":[1059345,1147836],"related-posts":[900798,904143,1138048],"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":13,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/286754\/revisions"}],"predecessor-version":[{"id":1142560,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/286754\/revisions\/1142560"}],"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}]}}