{"596996":{"#nid":"596996","#data":{"type":"news","title":"Georgia Tech Launches Data Science Initiative with College of Computing Involvement","body":[{"value":"\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cdiv\u003E\r\n\u003Cp\u003EThe need to efficiently analyze large, complex data sets is a growing challenge, and one that scholars from all areas need to tackle. With this in mind, Georgia Tech launched the Transdisciplinary Research Institute for Advancing Data Science (TRIAD) on Oct. 3.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETRIAD is part of a larger \u003Ca href=\u0022https:\/\/www.nsf.gov\/\u0022\u003ENational Science Foundation\u003C\/a\u003E (NSF) project, the \u003Ca href=\u0022https:\/\/www.nsf.gov\/news\/news_summ.jsp?cntn_id=242888\u0026amp;org=NSF\u0026amp;from=news\u0022 target=\u0022_blank\u0022\u003ETransdisciplinary Research in Principles of Data Science\u003C\/a\u003E, in which 14 institutions across 11 states collaborate on long-term big data research and training. With a \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/news\/595019\/nsf-taps-georgia-tech-foundational-data-science-initiative\u0022\u003E$1.5 million NSF award\u003C\/a\u003E, Georgia Tech is able to bring researchers from four of its six colleges together, representing fields such as theoretical computer science, mathematics, and statistics.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;This diversity is one of the key elements of this project,\u0026rdquo; said \u003Ca href=\u0022https:\/\/www.isye.gatech.edu\/users\/stephen-cross\u0022\u003E\u003Cstrong\u003EStephen Cross,\u003C\/strong\u003E\u003C\/a\u003E executive vice president for research. \u0026ldquo;New ideas come from being at the boundaries of all these fields.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe College of Computing (CoC) has been involved in the project since the beginning. School of Computational Science and Engineering (CSE) Professor \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~saluru\/\u0022\u003E\u003Cstrong\u003ESrinivas Aluru\u003C\/strong\u003E\u003C\/a\u003E and School of Computer Science (SCS) ADVANCE Professor of Computing \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/dana-randall\u0022\u003E\u003Cstrong\u003EDana Randall\u003C\/strong\u003E\u003C\/a\u003E are on TRIAD\u0026rsquo;s management team. As co-directors of the \u003Ca href=\u0022http:\/\/ideas.gatech.edu\/\u0022\u003EInstitute for Data Engineering and Science\u003C\/a\u003E, which submitted the NSF proposal, they already research the impact of big data but praise TRIAD\u0026rsquo;s interdisciplinary approach.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Everyone on campus is doing something involving algorithms,\u0026rdquo; Randall said. \u0026ldquo;You can use an existing algorithm, but if you think about a problem from scratch, you can make breakthroughs.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe community research aspect of TRIAD will be carried out by up to 40 professors and more than 250 students. The research will focus on four issues:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003Eadvanced mathematical modeling for contemporary data;\u003C\/li\u003E\r\n\t\u003Cli\u003Enew inferential strategies that are both scalable and de-centralized;\u003C\/li\u003E\r\n\t\u003Cli\u003Eefficient optimization tools with theoretical guarantees; and\u003C\/li\u003E\r\n\t\u003Cli\u003Eapplications in the context of large datasets from domains such as biology, design, manufacturing, logistics, and sustainability.\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EThe first phase of TRIAD will facilitate interdisciplinary research through working groups; national and international week-long workshops featuring research presentations, tutorials, poster sessions, and panels; and organized innovation labs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESCS Assistant Professor \u003Cstrong\u003EJake Abernethy\u003C\/strong\u003E, School of Industrial and Systems Engineering Professor \u003Ca href=\u0022http:\/\/ml.gatech.edu\/leadership\/sebastian-pokutta\u0022\u003E\u003Cstrong\u003ESebastian Pokutta\u003C\/strong\u003E\u003C\/a\u003E, and Mathematics Professor \u003Cstrong\u003E\u003Ca href=\u0022http:\/\/people.math.gatech.edu\/~tetali\/\u0022\u003EPrasad Tetali\u003C\/a\u003E\u003C\/strong\u003E (who also holds a joint appointment in SCS) will host the first workshop on machine learning, optimization, and decision making from March 5 to 9, 2018.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlso look forward to more CoC workshops on campus throughout the spring, such as the one on algorithms and randomness led by SCS faculty \u003Ca href=\u0022http:\/\/arc.gatech.edu\/\u0022\u003EAlgorithms \u0026amp; Randomness Center\u003C\/a\u003E Director \u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~vigoda\/\u0022\u003EEric Vigoda\u003C\/a\u003E\u003C\/strong\u003E, Professor \u003Cstrong\u003E\u003Ca href=\u0022https:\/\/www.scs.gatech.edu\/people\/11074\/santosh-vempalas\u0022\u003ESantosh Vempala\u003C\/a\u003E\u003C\/strong\u003E, and Tetali from May 14 to 17, 2018.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EOther CSE faculty will serve as senior investigators: \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/bistra-dilkina\u0022\u003E\u003Cstrong\u003EBistra Dilkina\u003C\/strong\u003E\u003C\/a\u003E and \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~hpark\/\u0022\u003E\u003Cstrong\u003EHaesun Park\u003C\/strong\u003E\u003C\/a\u003E.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;Our goal is to have Georgia Tech be seen as the go-to place for data science and machine learning,\u0026rdquo; said Professor \u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/people\/irfan-essa\u0022\u003E\u003Cstrong\u003EIrfan Essa\u003C\/strong\u003E\u003C\/a\u003E, associate dean for research in the College of Computing and director of the \u003Ca href=\u0022http:\/\/ml.gatech.edu\/\u0022\u003ECenter for Machine Learning at Georgia Tech\u003C\/a\u003E. \u0026ldquo;This is something we\u0026rsquo;re really engaged with and invested in.\u0026rdquo;\u003C\/p\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n\u003C\/div\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"TRIAD launched on October 3, 2017."}],"uid":"34541","created_gmt":"2017-10-05 15:52:19","changed_gmt":"2017-10-12 19:02:25","author":"Tess Malone","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2017-10-05T00:00:00-04:00","iso_date":"2017-10-05T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"596997":{"id":"596997","type":"image","title":"TRIAD Kick-off","body":null,"created":"1507219213","gmt_created":"2017-10-05 16:00:13","changed":"1507219213","gmt_changed":"2017-10-05 16:00:13","alt":"TRIAD launched on Tuesday, October 3, 2017.","file":{"fid":"227541","name":"Triadkickoff.JPG","image_path":"\/sites\/default\/files\/images\/Triadkickoff.JPG","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/Triadkickoff.JPG","mime":"image\/jpeg","size":1437357,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Triadkickoff.JPG?itok=ppHD8ipG"}}},"media_ids":["596997"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"50877","name":"School of Computational Science and Engineering"},{"id":"50875","name":"School of Computer Science"},{"id":"545781","name":"Institute for Data Engineering and Science"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39431","name":"Data Engineering and Science"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003ETess Malone, Communications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:tess.malone@cc.gatech.edu\u0022\u003Etess.malone@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":["tess.malone@cc.gatech.edu"],"slides":[],"orientation":[],"userdata":""}}}