SES News
Study: When allocating scarce resources with AI, randomization can improve fairness
Introducing structured randomization into decisions based on machine-learning model predictions can address inherent uncertainties while maintaining efficiency, says study from group including senior author and SDSC faculty Ashia Wilson and SES student and lead author Shomik Jain.
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Fotini Christia named next IDSS Director
As an Associate Director of IDSS, Christia has chaired the SES PhD program, directed the Sociotechnical Systems Research Center, and co-led the Initiative on Combatting Systemic Racism.
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The 2024 graduates of IDSS
Congrats to the IDSS graduates of 2024, from our PhDs in Social & Engineering Systems, Master's students in the Technology and Policy Program, and the undergrad and grad students in the MIT Statistics and Data Science Center.
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Building a community of practice for women in data science
The Women in Data Science (WiDS) Cambridge 2024 conference centered the need for more data science skills in cross-disciplinary work addressing violent conflict and other societal issues.
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Arnab Sarker recognized with IDSS Teaching Assistant Award
A doctoral student in SES, Sarker has been recognized for going above and beyond for his students, assisting in curriculum design, and nurturing the growing and diverse IDSS community.
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Characterizing social networks
A new method explored by study lead author and SES graduate student Arnab Sarker to measure homophily in large group interactions offers insights into how groups might interact in the future.
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Growing our organ supply
SES student Hammaad Adam’s novel data set ‘ORCHID’ can help increase the supply of organs for transplants, saving lives and improving health equity.
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Who sees what online — and why
SES student Andreas Haupt studies how algorithms try to predict what content social media users will like, and how the design of these algorithms influences not only the content you see, but what content gets made.
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Automated system teaches users when to collaborate with an AI assistant
MIT researchers including paper lead author and SES student Hussein Mozannar develop a customized onboarding process that helps a human learn when a model’s advice is trustworthy.
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AI accelerates problem-solving in complex scenarios
A new, data-informed approach developed by researchers including IDSS faculty Cathy Wu and SES student Sirui Li could lead to better solutions for tricky optimization problems like global package routing or power grid operation.
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