LIDS associate director Eytan Modiano receives 2020 IEEE INFOCOM Achievement Award
Modiano received the high honor in recognition of his contributions to the analysis and design of cross-layer resource allocation algorithms for wireless, optical, and satellite networks.
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How to restart the economy with a post-pandemic workforce
IDSS and Media Lab professor Sandy Pentland outlines how testing and technology can help identify a “safe” workforce in a new white paper.
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Playing a new tune
MIT Sloan professor and IDSS affiliate David Rand is a one-time punk rock guitarist whose academic research digs into psychology, cooperation, and politics.
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Solving the health-care equipment supply shortage
Just-in-time principles have hampered hospitals responding to the coronavirus pandemic, and it will take government action to fix the problem over the long term argues IDSS affiliate Yossi Sheffi.
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More voting by mail would make the 2020 election safer for our health. But it comes with risks of its own.
IDSS affiliate and political science professor Charles Stewart III writes for the Washington Post on the pros and cons of ramping up mail voting by November.
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IDSS COVID-19 Collaboration (Isolat)
A volunteer effort bringing together researchers to provide systematic and rigorous analyses of COVID-19 data in order to inform policy makers.
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Fotini Christia on new deal-making in Afghanistan
IDSS affiliate and political science professor Fotini Christia discusses a new U.S.-Taliban agreement and whether it will bring peace to the Afghan people.
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Energy technology evolution
IDSS professor Jessika Trancik and IDSS postdoc Gökşin Kavlak discuss photovoltaics and forecasting technology evolution in this podcast from the MIT Energy Initiative.
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Podcast: TIL about wind and solar power
IDSS postdoc Magdalena Klemun joins the MIT Environmental Solutions Initiative's 'Today I Learned' Climate podcast to discuss the challenges and opportunities of wind and solar power.
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Projecting the outcomes of people’s lives with AI isn’t so simple
SES student Eaman Jahani joined over 100 researchers, including IDSS professor Sandy Pentland, on a mass collaborative study showing that the machine learning techniques used to predict outcomes from large datasets may fall short when projecting the outcomes of people’s lives.
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