MIT Sloan to launch new climate policy center with $25 million investment
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.
READ MOREWho sees what online — and why
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.
READ MORE3 Questions: Shaping the future of work in an age of AI
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.
READ MORE‘Cyber-physical attacks’ fueled by AI are a growing threat, experts say
IDSS faculty Stuart Madnick discusses how the rise of generative AI technologies could lead to cyberattacks on physical infrastructure.
READ MOREUsing generative AI to improve software testing
MIT spinout DataCebo, co-founded by IDSS researcher Kalyan Veeramachaneni, helps companies bolster their datasets by creating synthetic data that mimic the real thing.
READ MORENew insights on political polarization
Researchers including IDSS faculty Adam Berinsky and Teppei Yamamoto study the complexities of media preferences and partisan divides.
READ MOREDealing with the limitations of our noisy world
IDSS faculty Tamara Broderick uses statistical approaches to understand and quantify the uncertainty that can affect study results.
READ MOREExplained: Carbon credits
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.
READ MORENew AI model could streamline operations in a robotic warehouse
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.
READ MOREGenerative AI for smart grid modeling
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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