Emery Brown wins a share of 2022 Gruber Neuroscience Prize
IDSS core faculty member and three other scientists recognized for advancing statistical, theoretical analyses of neuroscience data.
Should the federal government spend more money on conducting elections?
A report from the MIT Election Data and Science Lab, directed by IDSS affiliate Professor Charles Stewart III “examines the federal government’s history of election spending — and suggests ways it could consider dispersing monies to help underfunded election administrators."
AI can identify race from medical images with no indications of race detectable by humans
The study is co-led by ICSR Healthcare lead Marzyeh Ghassemi, who also works on research led by SES student Hammaad Adam showing that models can identify race from clinical notes stripped of explicit race indicators.
Living better with algorithms
LIDS student Sarah Cen explores the interplay between humans and artificial intelligence systems, to help build accountability and trust.
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