Introductory Overview Lectures
Julia for Statistics and Data Science
Sunday, August 8, 3:30 p.m.
Cecile Ane, University of Wisconsin; Claudia Solis-Lemus, University of Wisconsin; Douglas Bates, University of Wisconsin
Advances in the Statistical Understanding of Random Forests and Related Methods and Their Use in Inference
Monday, August 9, 10:00 a.m.
Giles J. Hooker, Cornell; Lucas Mentch, University of Pittsburgh
Fairness in Machine Learning
Tuesday, August 10, 10:00 a.m.
Sherri Rose, Stanford University
Spatial Models for Massive Data Sets
Wednesday, August 11, 10:00 a.m.
Sudipto Banerjee, University of California at Los Angeles
Human Trafficking Analytics in the Age of COVID-19
Tuesday, August 10, 1:30 p.m.
Miriam McGaugh, Oklahoma State University; William Taylor, SAS; Lauren Agrigento, SAS; David J. Corliss, Peace-Work; Sarah Warner, OSU Moritz College of Law, League of Women Voters of Ohio; Sree Vuthaluru, SAS; and Emma Collert, Oklahoma State University
Business Response to the Coronavirus Pandemic
Thursday, August 12, 10:00 a.m.
Sharon Stang, Bureau of Labor Statistics; Michael Dalton, Bureau of Labor Statistics; Sean McIllece; Bureau of Labor Statistics; Anthony Colavito, Bureau of Labor Statistics; and Kevin Cooksey, Bureau of Labor Statistics