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MIT Sloan to launch new climate policy center with $25 million investment
MIT Sloan Office of Communications | March 18, 2024

IDSS faculty Christopher Knittel to be faculty director of new center aimed at providing evidence-based climate policy research to help inform and support policymakers.

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Andreas Haupt

Who sees what online — and why
March 13, 2024

SES student Andreas Haupt studies how algorithms try to predict what content social media users will like, and how the design of these algorithms influences not only the content you see, but what content gets made.

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Daron Acemoglu

3 Questions: Shaping the future of work in an age of AI
MIT News Office | March 12, 2024

Daron Acemoglu, David Autor, and Simon Johnson, faculty co-directors of the new MIT Shaping the Future of Work Initiative, describe why the work matters and what they hope to achieve.

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a computer screen with a lock icon

‘Cyber-physical attacks’ fueled by AI are a growing threat, experts say
CNBC | March 7, 2024

IDSS faculty Stuart Madnick discusses how the rise of generative AI technologies could lead to cyberattacks on physical infrastructure. 

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Using generative AI to improve software testing
MIT News | March 5, 2024

MIT spinout DataCebo, co-founded by IDSS researcher Kalyan Veeramachaneni, helps companies bolster their datasets by creating synthetic data that mimic the real thing.

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New insights on political polarization
MIT Technology Review | March 5, 2024

Researchers including IDSS faculty Adam Berinsky and Teppei Yamamoto study the complexities of media preferences and partisan divides.

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Tamara Broderick

Dealing with the limitations of our noisy world
MIT News | March 4, 2024

IDSS faculty Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.

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Explained: Carbon credits
MIT News | March 4, 2024

IDSS faculty John Sterman has published a set of criteria for evaluating proposed carbon offset plans to make sure they would provide the benefits they claim.

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an illustration of packages on robotic movers

New AI model could streamline operations in a robotic warehouse
MIT News Office | February 28, 2024

By breaking an intractable problem into smaller chunks, a deep-learning technique developed by researchers including IDSS faculty Cathy Wu identifies the optimal areas for thinning out traffic in a warehouse.

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Generative AI for smart grid modeling
MIT Laboratory for Information and Decision Systems | February 28, 2024

Led by IDSS researcher Kalyan Veeramachaneni, principal investigator at LIDS' Data to AI Group, the project will focus on creating AI-driven generative models for customer load data.

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