Newsroom
Algorithmic Fairness
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FDS Colloquium: Jamie Tucker-Foltz (Yale), “Random Redistricting via Random Walks”
Abstract: A widely-used method for assessing fairness in political redistricting is to generate a massive ensemble of “random” redistricting maps to develop a statistical […]
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FDS Workshop: New Directions in Social Algorithms Research
As social media algorithms increasingly mediate social experiences, there has been a rapid increase in research on the effects of how these algorithms are […]
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FDS Colloquium: Cynthia Dwork (Harvard), “Outcome Indistinguishability and its Diverse Applications”
Abstract: Outcome Indistinguishability, a notion from algorithmic fairness with roots in complexity theory, frames learning not as loss minimization – the dominant paradigm in supervised […]
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FDS Colloquium: Bhramar Mukherjee (Yale), “Analysis of “Big” Real-World Health Care Data: Promises and Perils”
Speaker: Bhramar Mukherjee, Ph.D.Senior Associate Dean of Public Health Data Science and Data EquityAnna M.R Lauder Professor of BiostatisticsProfessor of Epidemiology (Chronic Diseases) and […]
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FDS x Math Colloquium: Phillip Atiba Solomon (f.k.a. Goff), “The After Math of Injustice”
Speaker: Phillip Atiba Solomon f.k.a. GoffChair and Carl I. Hovland Professor of African American Studies and Professor of Psychology Thursday, March 28, 20243:30pm: Tea […]