SES News
A healthy wind
A new study co-authored by IDSS core faculty Noelle Selin and SES alum Minghao Qiu (PhD ’21) finds that the health benefits of using wind energy could quadruple if the most polluting power plants are selected for dialing down.
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Policy Hackathon produces new solutions for technology policy challenges
The 2022 MIT Policy Hackathon explored policy solutions to sociotechnical challenges focused on post-pandemic efforts to build a better society, with challenges in cybersecurity, environmental justice, and city planning.
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IDSS recognizes two TAs with new award
The first IDSS TA awards were given to SES students Max Vilgalys and Yunzong Xu in recognition of their excellent instruction and commitment to students.
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Mining social media data for social good
Erin Walk, a PhD student in social and engineering systems, studies the impact of social media on the Syrian conflict.
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The 2022 graduates of IDSS
Congrats to the IDSS graduates of 2022, from our PhDs in Social & Engineering Systems and Statistics, Master's students in the Technology and Policy Program, and undergrads who minored in Statistics and Data Science.
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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.
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Study: adolescents accounted for larger share of suicides in 2020
SES student and lead study author Marie-Laure Charpignon says investigation is needed to uncover the root factors driving the troubling increase in the proportion of suicides among youth.
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Developing AI systems for healthcare equity
SES student Hammaad Adam uses machine learning to create more equitable healthcare systems as an SES student and researcher with the IDSS Research Initiative on Combatting Systemic Racism.
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Racial equity and data science
Professor Fotini Christia introduces a new MIT-wide effort to address systemic racism with social science and computation, launched by IDSS.
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When should someone trust an AI assistant’s predictions?
MIT researchers, including IDSS doctoral student Hussein Mozannar, created a method that helps humans develop a more accurate mental model of an artificial intelligence teammate.
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