What happens when US economic data becomes unreliable
New paper co-authored by IDSS faculty Roberto Rigobon addresses the main challenges undermining trustworthy government data and details what businesses should be aware of, especially regarding the use of private data.
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3 Questions: On the future of AI and the mathematical and physical sciences
Professor and IDSS faculty Jesse Thaler describes a vision for a two-way bridge between artificial intelligence and the mathematical and physical sciences — one that promises to advance both.
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MIT School of Engineering faculty receive awards in fall 2025
Faculty members and researchers including IDSS faculty Faez Ahmed were honored in recognition of their scholarship, service, and overall excellence.
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A “ChatGPT for spreadsheets” helps solve difficult engineering challenges faster
The approach, from a paper co-authored by IDSS faculty Faez Ahmed, could help engineers tackle extremely complex design problems, from power grid optimization to vehicle design.
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Researcher Profile: 3 Questions with Chris Womack
TPP alum Chris Womack ’22, SM ’24 and current Center for Sustainability PhD student describes his career path and its potential impact.
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AI algorithm enables tracking of vital white matter pathways
Opening a new window on the brainstem, a new tool developed by a team including IDSS faculty Emery Brown reliably and finely resolves distinct nerve bundles in live diffusion MRI scans, revealing signs of injury or disease.
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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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Enhancing maritime cybersecurity with technology and policy
Strahinja Janjusevic brings an international perspective and US Naval Academy education to his graduate research in the MIT Technology and Policy Program.
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AI Is Not Improving Productivity: Nobel Laureate Daron Acemoglu
In a bonus episode of the Me, Myself, and AI podcast, Nobel Prize-winning economist Daron Acemoglu joins host Sam Ransbotham to challenge some of the most common assumptions about artificial intelligence’s future.
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Exposing biases, moods, personalities, and abstract concepts hidden in large language models
A new method developed at MIT by researchers including IDSS faculty Adityanarayanan “Adit” Radhakrishnan could root out vulnerabilities and improve LLM safety and performance.
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