Causal impact of masks, policies, and behavior on the early spread of Covid-19
A study led by IDSS and Economics professor Victor Chernozhukov suggests that nationally mandating face masks could have reduced pandemic deaths in the US.
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An automated health care system that understands when to step in
SES student Hussein Mozannar, working with Statistics and Data Science Center affiliate David Sontag, has developed a machine learning system that looks at chest X-rays to diagnose pneumonia — but also knows when to defer to a radiologist.
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How Hype Proliferates
IDSS affiliate and MIT Sloan professor Sinan Aral examines social media’s impact on health, the economy, and democracy.
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Evaluating battery revenues for offshore wind farms using advanced modeling
In a collaboration with MITEI, LIDS principal research scientist Audun Botterud and LIDS postdoc Mehdi Jafari aim to improve the models that estimate battery revenue in renewable energy storage systems.
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Alumni profile: Ivan Rudnick, TPP’s 2020 Best Thesis winner
Rudnick’s research, which earned him TPP’s Best Thesis Award for 2020, offers insights into designing energy policies that could help India achieve its decarbonization goals.
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Does ride-sharing substitute for or complement public transit?
Researchers from MIT SMART's Future Urban Mobility interdisciplinary research group, including IDSS affiliate Jinhua Zhao, investigate the relationship between ride-sharing and public transit using ride-sourcing data.
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Jamie Kelly wins Superfund Externship Award
IDSS postdoc Jamie Kelly won a 2020 K.C. Donnelly Externship Award from the National Institute of Environmental Health Sciences Superfund Research Program, a part of NIH.
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A fast track for machine learning
IDSS affiliate and EECS professor Tamara Broderick studies how machine-learning systems can be made to quantify the “known unknowns” in their predictions using Bayesian inference.
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Reshoring, restructuring, and the future of supply chains
IDSS professor David Simchi-Levi and IDSS affiliate Yossi Sheffi offer their thoughts about reliance on China, the possibility of reshoring, and how supply chains will — and won’t — change in the era of COVID-19.
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Igor Kadota wins MIT School of Engineering Graduate Student Extraordinary Teaching and Mentoring Award
Kadota is a LIDS PhD candidate who researches communications networks, augmented reality, autonomous vehicles, and smart factories.
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