LIDS-SSRC Seminar: On the Consequences of Information in the First-Price Auction
32-155 , United StatesIn this presentation, Prof. Dirk Bergemann discussed how the structure of information can affect welfare outcomes in the first-price auction.
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LIDS-SSRC Seminar: Endogenous Stratification in Randomized Experiments
32-155 , United StatesLearning from People
LIDS-SSRC Seminar: Systemic Risk and Network Formation
32-155 , United StatesIn this seminar, Prof. Rakesh Vohra introduced a model of endogenous network formation and systemic risk in which strategic agents form networks that efficiently trade off the possibility of systemic risk with the benefits of trade.
21st-Century Statistics at MIT: Inaugural Symposium
46-3002 , United StatesThis symposium provided the MIT community with a forum for discussing some of the challenges and opportunities redefining 21st-century statistics.
MIT Professional Education Short Program: Crisis Management & Business Continuity
(Richard Larson, Steve Goldman, Bill VanSchalkwyk, Lou DiBerardinis)
MIT Professional Education Short Program: Sustainability: Principles & Practice
(Noelle Selin) This course will introduce participants to the goals, principles, and practical applications of sustainability from science/engineering, policy, and business perspectives.
An Extended Frank-Wolfe Method with Application to Low-Rank Matrix Completion
32-124 , United StatesThe Stochastics and Statistics Seminar is a weekly meeting organized by the Statistics and Data Science Center (SDSC). It consists of a series of one-hour presentations by worldwide leaders making cutting edge contributions to methodological and theoretical advances in data science. These fields include probability, statistics, optimization, and applied mathematics. The seminar also regularly features…
Making Good Policies with Bad Causal Inference: The Role of Prediction and Machine Learning
32-141 , United StatesIDSS Distinguished Seminars is a monthly lecture series featuring prominent global leaders and academics sharing research in areas that include social networks, causal inference, data privacy, computational social science and other areas that are impacted by the emergence of big data. Â