{"673530":{"#nid":"673530","#data":{"type":"news","title":"Faculty is First from Georgia Tech to Receive New Fellowship for Artificial Intelligence Research","body":[{"value":"\u003Cp\u003ESchmidt Sciences has selected \u003Cstrong\u003EKai Wang\u003C\/strong\u003E as one of 19 researchers to receive this year\u2019s AI2050 Early Career Fellowship. In doing so, Wang becomes the first AI2050 fellow to represent Georgia Tech.\u003C\/p\u003E\u003Cp\u003E\u201cI am excited about this fellowship because there are so many people at Georgia Tech using AI to create social impact,\u201d said Wang, an assistant professor in the School of Computational Science and Engineering (CSE).\u003C\/p\u003E\u003Cp\u003E\u201cI feel so fortunate to be part of this community and to help Georgia Tech bring more impact on society.\u201d\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.schmidtsciences.org\/ai2050-early-career-fellows-2024\/\u0022\u003EAI2050\u003C\/a\u003E has allocated up to $5.5 million to support the cohort. Fellows receive up to $300,000 over two years and will join the Schmidt Sciences network of experts to advance their research in artificial intelligence (AI).\u003C\/p\u003E\u003Cp\u003EWang\u2019s AI2050 project centers on leveraging decision-focused AI to address challenges facing health and environmental sustainability. His goal is to strengthen and deploy decision-focused AI in collaboration with stakeholders to solve broad societal problems.\u003C\/p\u003E\u003Cp\u003EWang\u2019s method to decision-focused AI integrates machine learning with optimization to train models based on decision quality. These models borrow knowledge from decision-making processes in high-stakes domains to improve overall performance.\u003C\/p\u003E\u003Cp\u003EPart of Wang\u2019s approach is to work closely with non-profit and non-governmental organizations. This collaboration helps Wang better understand problems at the point-of-need and gain knowledge from domain experts to custom-build AI models.\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u201cIt is very important to me to see my research impacting human lives and society,\u201d Wang said. That reinforces my interest and motivation in using AI for social impact.\u201d\u003C\/p\u003E\u003Cp\u003E[Related: \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/new-faculty-bolster-schools-machine-learning-high-performance-computing-expertise\u0022\u003EWang, New Faculty Bolster School\u2019s Machine Learning Expertise\u003C\/a\u003E]\u003C\/p\u003E\u003Cp\u003EThis year\u2019s cohort is only the second in the fellowship\u2019s history. Wang joins a class that spans four countries, six disciplines, and seventeen institutions.\u003C\/p\u003E\u003Cp\u003EAI2050 commits $125 million over five years to identify and support talented individuals seeking solutions to ensure society benefits from AI. Last year\u2019s AI2050 inaugural class of 15 early career fellows received $4 million.\u003C\/p\u003E\u003Cp\u003EThe namesake of AI2050 comes from the central motivating question that \u003Ca href=\u0022https:\/\/ai2050.schmidtsciences.org\/fellows\/\u0022\u003Efellows answer through their projects\u003C\/a\u003E:\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EIt\u2019s 2050. AI has turned out to be hugely beneficial to society. What happened? What are the most important problems we solved and the opportunities and possibilities we realized to ensure this outcome?\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003EAI2050 encourages young researchers to pursue bold and ambitious work on difficult challenges and promising opportunities in AI. These projects involve research that is multidisciplinary, risky, and hard to fund through traditional means.\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/www.schmidtsciences.org\/\u0022\u003ESchmidt Sciences\u003C\/a\u003E, LLC is a 501(c)3 non-profit organization supported by philanthropists Eric and Wendy Schmidt. Schmidt Sciences aims to accelerate and deepen understanding of the natural world and develop solutions to real-world challenges for public benefit.\u003C\/p\u003E\u003Cp\u003ESchmidt Sciences identify under-supported or unconventional areas of exploration and discovery with potential for high impact. Focus areas include AI and advanced computing, astrophysics and space, biosciences, climate, and cross-science.\u003C\/p\u003E\u003Cp\u003E\u201cI am most grateful for the advice from my mentors, colleagues, and collaborators, and of course AI2050 for choosing me for this prestigious fellowship,\u201d Wang said. \u201cThe School of CSE has given me so much support, including career advice from junior and senior level faculty.\u201d\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ESchmidt Sciences has selected \u003Cstrong\u003EKai Wang\u003C\/strong\u003E as one of 19 researchers to receive this year\u2019s AI2050 Early Career Fellowship. In doing so, Wang becomes the first AI2050 fellow to represent Georgia Tech.\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Schmidt Sciences has selected Kai Wang as one of 19 researchers to receive this year\u2019s AI2050 Early Career Fellowship. In doing so, Wang becomes the first AI2050 fellow to represent Georgia Tech. "}],"uid":"36319","created_gmt":"2024-03-14 16:02:18","changed_gmt":"2024-12-09 17:36:57","author":"Bryant Wine","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2024-03-14T00:00:00-04:00","iso_date":"2024-03-14T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"673398":{"id":"673398","type":"image","title":"Kai Wang AI2050 Fellowship.jpg","body":null,"created":"1710431876","gmt_created":"2024-03-14 15:57:56","changed":"1710431855","gmt_changed":"2024-03-14 15:57:35","alt":"Kai Wang AI2050 Fellowship","file":{"fid":"256791","name":"Kai Wang AI2050 Fellowship.jpg","image_path":"\/sites\/default\/files\/2024\/03\/14\/Kai%20Wang%20AI2050%20Fellowship.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/14\/Kai%20Wang%20AI2050%20Fellowship.jpg","mime":"image\/jpeg","size":93239,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/14\/Kai%20Wang%20AI2050%20Fellowship.jpg?itok=oxd8n-t2"}},"673399":{"id":"673399","type":"image","title":"armman-visit copy.jpg","body":null,"created":"1710431911","gmt_created":"2024-03-14 15:58:31","changed":"1710431893","gmt_changed":"2024-03-14 15:58:13","alt":"Kai Wang ARMMAN visit","file":{"fid":"256792","name":"armman-visit copy.jpg","image_path":"\/sites\/default\/files\/2024\/03\/14\/armman-visit%20copy.jpg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/2024\/03\/14\/armman-visit%20copy.jpg","mime":"image\/jpeg","size":1597524,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/2024\/03\/14\/armman-visit%20copy.jpg?itok=k2osVUxt"}}},"media_ids":["673398","673399"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"}],"categories":[{"id":"153","name":"Computer Science\/Information Technology and Security"},{"id":"154","name":"Environment"},{"id":"135","name":"Research"}],"keywords":[{"id":"187915","name":"go-researchnews"},{"id":"192863","name":"go-ai"},{"id":"10199","name":"Daily Digest"},{"id":"7846","name":"Georgia Tech Office of the Provost"},{"id":"654","name":"College of Computing"},{"id":"166983","name":"School of Computational Science and Engineering"},{"id":"2556","name":"artificial intelligence"},{"id":"9167","name":"machine learning"},{"id":"9153","name":"Research Horizons"}],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"},{"id":"39501","name":"People and Technology"}],"news_room_topics":[{"id":"71871","name":"Campus and Community"}],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EBryant Wine, Communications Officer\u003Cbr\u003Ebryant.wine@cc.gatech.edu\u003C\/p\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}