SES News
AI to help researchers see the bigger picture in cell biology
By providing holistic information on a cell, an AI-driven method from researchers including IDSS faculty Caroline Uhler could help scientists better understand disease mechanisms and plan experiments.
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Parking-aware navigation system could prevent frustration and emissions
MIT researchers including IDSS facutly Cathy Wu, SES student Cameron Hickert and recent SES graduate Sirui Li PhD ’25 have developed a parking-aware navigation system that helps drivers identify lots offering the optimal balance between proximity to their destination and the likelihood of available spaces.
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Personalization features can make LLMs more agreeable
The context of long-term conversations can cause an LLM to begin mirroring the user’s viewpoints, possibly reducing accuracy or creating a virtual echo-chamber, says new research from SES student Shomik Jain.
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3 Questions: Using AI to help Olympic skaters land a quint
MIT Sports Lab researchers Jerry Lu, IDSS faculty Peko Hosoi, and SES grad student Eric Liu are applying AI technologies to help figure skaters improve.
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Prognostic tool could help clinicians identify high-risk cancer patients
Using a versatile problem-solving framework, researchers including IDSS faculty Devavrat Shah and SES and IDPS student Jessy (Xinyi) Han show how early relapse in lymphoma patients influences their chance for survival.
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MIT and Mass General Hospital researchers find disparities in organ acceptance
In an analysis of over 160,000 transplant candidates, researchers including SES student Hammaad Adam found that race is linked to how likely an organ offer is to be accepted on behalf of a patient.
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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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