All Topics (December 3 through February 28) Thursday, December 3 4:00 PM Self-normalized resampling for time series (Shuyang Bai -- Boston University) Wednesday, December 9 4:00 PM Estimating Causal Effects in the Presence of Interfering Units (Edoardo M. Airoldi -- Harvard University) Thursday, December 10 4:00 PM Towers, Codes and Approximate Conjugacy (Vidhu Prasad -- University of Massachusetts Lowell) Tuesday, January 19 4:00 PM Adjacency Spectral Embedding for Random Graphs (Daniel Sussman -- Harvard University) Thursday, January 21 4:00 PM Leveraging Multiple Outcomes in Matched Observational Studies (Colin B. Fogarty -- University of Pennsylvania) Tuesday, January 26 4:00 PM Fast Bayesian Factor Analysis via Automatic Rotations to Sparsity (Veronika Rockova - University of Pennsylvania) Thursday, January 28 4:00 PM Learning Dynamics of Complex Systems from High-dimensional Data (Sumanta Basu - University of California, Berkeley) Friday, January 29 4:00 PM Designing experiments for new-generation scientific studies: some challenges and potential solutions (Tirthankar Dasgupta -- Harvard University) Thursday, February 4 4:00 PM Statistical approaches for making sense of high-throughput biological data (Christine B. Peterson -- Stanford University)