ICSR News
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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Inclusive research for social change
The MIT Student Research Program pairs underrepresented students with opportunities to examine inequity through the IDSS Initiative for Combatting Systemic Racism.
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Marzyeh Ghassemi Finds the Right Guiding Star
The ICSR Healthcare lead and EECS professor is glad to have crossed academic paths with computer science and AI faculty Peter Szolovits. The feeling is mutual.
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MIT welcomes nine MLK Visiting Professors and Scholars for 2023-24
Tawanna Dillahunt from the University of Michigan will be jointly hosted by IDSS and Urban Studies and Planning, with research that focuses on equitable and inclusive computing.
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MIT scholars awarded seed grants to probe the social implications of generative AI
The 27 finalists include many IDSS faculty and research within the IDSS Initiative on Combatting Systemic Racism.
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AI can help shape society for the better – but humans and machines must work together
IDSS faculty member D. Fox Harrell says collaboration rather than command-and-control is key to creating culturally and ethically positive systems.
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Bot detection software isn’t as accurate as it seems
A study by IDSS postdoc Zachary Schutzman and IDSS students Chris Hays, Erin Walk, and Philipp Zimmer finds that general-purpose bot-detection algorithms trained on a particular data set may be highly error-prone when applied in real-world contexts.
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In new VR, role-playing gives insight into racism // Axios
Axios lists “On the Plane,” developed by the Antiracism, Games, and Immersive Media vertical, as VR role-playing project that tackle issues such as racism and discrimination by encouraging empathy.
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Will artificial intelligence help — or hurt — medicine?
Assistant Professor Marzyeh Ghassemi examines how the increasing use of artificial intelligence could impact medical care.
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Social Media vertical wins Best Paper Award at the ACM Web Conference 2023
SES student Chris Hays received the award for the group’s publication “Simplistic Collection and Labeling Practices Limit the Utility of Benchmark Datasets for Twitter Bot Detection”.
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