The Other 37% of my Job Alyson Wilson, Ph.D., PStat Professor, Department of Stas7cs Principal Inves7gator, Laboratory for Analy7c Sciences Associate Director, Data Science Ini7ave [email protected] hCp://www.stat.ncsu.edu/people/wilson/ Background • BA, Mathemacal Sciences, Rice University, 1989 • MS, Stas7cs, Carnegie Mellon, 1990 • University of PiCsburgh, Department of Epidemiology Data Center, 1991 • Naonal Ins7tutes of Health, 1991-1992 • PhD, Stas7cs, Duke University, 1995 • Cowboy Programming Resources (U.S. Army contractor), 1995-1999 • Los Alamos Naonal Laboratory, Stas7cal Sciences Group, 1999-2008 • Iowa State University, Department of Stas7cs, 2008-2011 • Science and Technology Policy Ins7tute, Ins7tute for Defense Analyses, 2011-2013 • North Carolina State University, Data-Driven Science Cluster, Department of Stas7cs, 2013- • Laboratory for Analy7c Sciences, 2014- Research Interests Research Interests: Examples • Bayesian Reliability, par7cularly for systems • Data fusion, currently for materials • Assurance Test Plans • Graph analy7cs (community detec7on, paern matching in geospaal seman7c graphs) • Inferring geotags for social media • Variable selec7on in stac and dynamic generalized linear models Research Interests: Examples • Industrial stas7cs (metrology, gauge R&R studies, quan7fying measurement error) • 3 books (Bayesian reliability, stas7cs in counterterrorism, reliability) • Grants from o Department of Energy, suppor7ng nonproliferaon and data fusion o Department of Defense, suppor7ng Bayesian reliability o NSF, suppor7ng joint materials/stas7cs training Research Group PhD Students • Yiqing Tian, variable selec7on for logis7c regression with p >> n (system reliability) • Jordan Bakerman, geotagging and dynamic variable selec7on (nonproliferaon) • Milo Page, matrix comple7on • Isaac Michaud, sensi7vity tes7ng (detonator tes7ng) RAs • James Gilman, Bayesian reliability and sofware security metrics • Susheela Singh, data fusion for materials Postdoctoral Research Fellow • Karl Pazdernik, spaal stas7cs, nonproliferaon, data fusion, sports stas7cs, industrial quality metrics • Hector Rendon, data veracity Teaching • Introduc7on to Data Science, CSC/ST cross-listed undergraduate course • Bayesian Analysis, ST graduate course • Experimental Stas7cs for Engineers, graduate course • NC State Execu7ve Educaon data science classes Stascs in Defense • Co-founder and (frequent) officer for the American Stas7cal Associaon Sec7on on Stas7cs in Defense and Naonal Security • Member of 9 Naonal Academy of Sciences panels looking at issues in defense, security, and counterterrorism • Execu7ve CommiCee Member (since 2000) of Conference on Applied Stas7cs in Defense; conference organizer (twice) Other Service Diversity • Reten7on and Promo7on of Women and Minority Faculty in Science and Engineering, submiCed to Science • University Diversity Advisory CommiCee • Diversity Mini-Grant • Leadership for a Diverse Campus Editorial • Former Editor (JASA, American Stas7cian) • Managing Editor (Bayesian Analysis) • Associate Editor (Journal of Uncertainty Quan7ficaon) Secretary for AAAS Sec7on U (Stas7cs) Data Science at NC State North Carolina State University has strengths that make it a natural home for data science ac7vi7es – strong programs in stas7cs, applied math, and computer science; long-standing industrial partnerships; Centennial Campus, which facilitates collaboraons among university, industry, and government partners. • Data-Driven Science Chancellor’s Faculty Excellence Program (cluster coordinator) • Data Science Ini7ave (associate director) • Laboratory for Analy7c Sciences (PI) Chancellor’s Faculty Excellence Program • “Cluster hiring” program, with a focus on interdisciplinary research • 77 faculty members over five years • 20 clusters ‒ Data-Driven Science ‒ Bioinformacs ‒ Emerging Plant Disease and Global Food Security ‒ Forensic Science ‒ Geospaal Analy7cs ‒ Innovaon and Design ‒ Leadership in Public Science ‒ Personalized Medicine ‒ Sustainable Energy Systems and Policy ‒ Visual Narrave hCps://facultyclusters.ncsu.edu Isn’t data science just applied stas7cs? ar7ficial intelligence? machine learning? Data Science Iniave How do we ins7tu7onalize data science at NC State? (And what does that mean?) • Educaon • Research • Infrastructure hp://dsi.ncsu.edu AnalyIcs and Data Science EducaIon Programs and Efforts • Ins7tute for Advanced Analy7cs – PSM • Data Science Graduate Cer7ficate (CSC/Stat) • CSC graduate track in Data Science • Stas7cs graduate concentraon in Data Science • Co-taught CSC/Stas7cs undergraduate elec7ve • Poole College of Management – Digital Analy7cs Cer7ficate within MBA program, Undergraduate 15-hour Data Analy7cs Honors Program • Geospaal Analy7cs MS and PhD programs • Development of • General Educaon themac concentraon • Quan7tave and H&SS-focused minors • Joint MS program with Stas7cs, Math, and Computer Science Research Enablement Winter Symposium • Highlight internal resources and external partnerships • Foster internal collaboraon within NC State using research lightning talks (and long breaks with food and coffee) Week-Long Professional Development Series • Intro to Data Science • Intro to Data Visualizaon • Intro to Data Science using R • Data Curaon • Data Mining Research Enablement RED Talks • Emery Brown, MIT/Harvard, February 9 • Deen Freelon, American University, March 15 • Kathleen Vogel, NCSU, April 19 CooperaIng AcIviIes • SMART Ci7es • I/UCRC Center for Hybrid Mul7core Produc7vity Research (CMHPR), Laboratory for the Science of Technologies for End- to End Enablement of Data (STEED) • NC Data Science and Analy7cs Ini7ave • TRIPODS proposal .