SES News
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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MIT Energy and Climate Club mobilizes future leaders to address global climate issues
SES student and co-president Thomas Lee assists the club treasurer, supports the club's leadership team for next spring’s Energy Conference, and guides the industry Sponsorships team.
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Shaping a Better Process for Crisis Interventions
A new paper co-authored by SES and IDPS student Marie-Laure Charpignon utilizes a case study of researchers and scholars' reactions to the COVID-19 pandemic to offer pathways for future collaboration in addressing emergent crises.
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AI could lead to inconsistent outcomes in home surveillance
Research supported by the IDSS Initiative on Combatting Systemic Racism finds that large language models make inconsistent decisions about whether to call the police when analyzing surveillance videos.
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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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