SES News
Unpacking the bias of large language models
In a new study, researchers including IDSS faculty Ali Jadbabaie, Stefanie Jegelka and SES/IDPS student Xinyi Wu discover the root cause of a type of bias in LLMs, paving the way for more accurate and reliable AI systems.
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The 2025 graduates of IDSS
IDSS celebrates our 2025 graduates, including 6 Social & Engineering Systems PhDs, 13 interdisciplinary doctoral degrees in Statistics, and 22 Master of Science degrees in Technology and Policy.
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Technology and policy for changing the world
The 2024 MIT Policy Hackathon empowered participants with the data and methods to collaboratively tackle challenges in healthcare, climate resilience, and more.
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A faster way to solve complex planning problems
By eliminating redundant computations, a new data-driven method from researchers including IDSS faculty Cathy Wu and SES student Sirui Li can streamline processes like scheduling trains, routing delivery drivers, or assigning airline crews.
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Basketball analytics investment is key to NBA wins and other successes
Peko Hosoi and SES alum Arnab Sarker join a study that shows that investment in analytics may also benefit college teams and fields beyond sports.
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Managing hidden risk in operations
SES student Feng Zhu’s research in multi-armed bandits and resource allocation shows how safety and resiliency can be integrated into complex decision-making environments from healthcare to the supply chain, improving long-term performance in various operational systems.
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Puzzling out climate change
Accenture Fellow and SES student Shreyaa Raghavan applies machine learning and optimization methods to explore ways to reduce transportation sector emissions.
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Climate resilience in Massachusetts
This year’s IDSS student-run MIT Policy Hackathon challenged teams to help the Commonwealth mitigate the impacts of flooding on low-income communities.
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MIT researchers develop an efficient way to train more reliable AI agents
The technique developed by researchers including IDSS faculty Cathy Wu and SES student Sirui Li could make AI systems better at complex tasks that involve variability.
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Empowering systemic racism research at MIT and beyond
IDSS researchers in the MIT Initiative on Combatting Systemic Racism are building an open data repository to advance research on racial inequity in domains like policing, housing, and health care.
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