“Applications of Artificial Intelligence and Natural Language Processing in Educational Measurement,” presented by Matthias von Davier, Boston College.

“Modeling Coarsened Categorical Variables: Techniques and Software, ” presented by Joseph Schafer, United States Census Bureau.

“Bookmaking for Binary Outcomes: Prediction, Profits, and the IMV”, presented by Ben Domingue, Stanford University.

“Testing an Elaborate Theory of a Causal Hypothesis”, presented by Dylan Small, University of Pennsylvania.

“Searching for Truth through Data”, presented by Dr. Edsel A. Pena, Professor of Statistics at the University of South Carolina.

“Experimental Evaluation of Algorithm-Assisted Human Decision-Making: Application to Pretrial Public Safety Assessment,” presented by Kosuke Imai, Professor of Government and of Statistics, Harvard University, Institute for Quantitative Social Science.

“Combining Experimental and Population Data to Estimate Population Treatment Effects,” presented by Dr. Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health

“Combining Experimental and Population Data to Estimate Population Treatment Effects,” presented by Dr. Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health

“Shared Parameter Mixed-Effects Location Scale Models for Intensive Longitudinal Data,” presented by Dr. Donald Hedeker, University of Chicago

“Test Validation for a Crisis: Five Practical Heuristics for the Best and Worst of Times,” presented by Dr. Andrew Ho, Harvard University