April 2020
[POSTPONED] Guido Imbens – The Applied Econometrics Professor and Professor of Economics, Graduate School of Business, Stanford University
*Please note: this event has been POSTPONED until Fall 2020* See MIT’s COVID-19 policies for more details. About the author: Prof. Guido Imbens’ primary field of interest is Econometrics. Research topics in which he is interested include: causality, program evaluation, identification, Bayesian methods, semi-parametric methods, instrumental variables. Guido Imbens does research in econometrics and statistics. His research focuses on developing methods for drawing causal inferences in observational studies, using matching, instrumental variables, and regression discontinuity designs. Guido Imbens is Professor…
Find out more »[POSTPONED] The Blessings of Multiple Causes
David Blei (Columbia University)
*Please note: this event has been POSTPONED until Fall 2020* See MIT’s COVID-19 policies for more details. Title: The Blessings of Multiple Causes Abstract: Causal inference from observational data is a vital problem, but it comes with strong assumptions. Most methods require that we observe all confounders, variables that affect both the causal variables and the outcome variables. But whether we have observed all confounders is a famously untestable assumption. We describe the deconfounder, a way to do causal…
Find out more »May 2020
Data Science and Big Data Analytics: Making Data-Driven Decisions
Developed by 11 MIT faculty members at IDSS, this seven-week course is specially designed for data scientists, business analysts, engineers and technical managers looking to learn strategies to harness data. Offered by MIT xPRO. Course begins May 4, 2020.
Find out more »[POSTPONED] Michael Kearns – Professor and National Center Chair, Department of Computer and Information Science, University of Pennsylvania
*Please note: this event has been POSTPONED until Fall 2020* See MIT’s COVID-19 policies for more details.
Find out more »October 2020
SDSCon 2020
SDSCon 2020 is the fourth annual celebration of the statistics and data science community at MIT and beyond, organized by MIT’s Statistics and Data Science Center (SDSC). Please see the conference website for registration information.
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