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  • Graphic of robot earning money by surfing the web. As AI reduces traffic to content-producing websites, publishers need new ways to be compensated for the information that all of us—including large language models—rely on. A new paper co-authored by Yale SOM’s Soheil Ghili proposes a scalable approach for setting pay-per-crawl prices.

    How Much Is Crawling Your Content Worth to an AI Bot?

    As AI reduces traffic to content-producing websites, publishers need new ways to be compensated for the information that all of us—including large language models—rely on. A new paper co-authored by Yale FDS and SOM’s Soheil Ghili proposes a scalable approach for setting pay-per-crawl prices.

  • Ilker Yildirim Receives 2026 Elsevier/VSS Young Investigator Award

    Ilker Yildirim, Assistant Professor in the Department of Psychology at Yale University, has been selected to receive the 2026 Elsevier/VSS Young Investigator Award from the Vision Sciences Society (VSS). The award, sponsored by Vision Research, recognizes an early-career vision scientist who has made outstanding contributions to the field, with emphasis on the significance, originality, and…

  • Mathematicians issue a major challenge to AI: Show us your work

    A new initiative highlighted in Scientific American is challenging AI systems to do something mathematicians actually care about: show their work. The project, First Proof, presents large language models with brand-new, research-level math problems and requires fully transparent, verifiable proofs rather than polished answers or hidden reasoning. Co-organized by leading researchers including Daniel Spielman of…

  • Xiaohong Chen’s Optimization Research Featured in PNAS Showcase

    Xiaohong Chen, Malcolm K. Brachman Professor, Department of Economics; Professor of Management; Professor of Statistics & Data Science, and member at the Yale Institute for Foundations of Data Science (FDS), has published a new paper in the Proceedings of the National Academy of Sciences (PNAS) titled Optimization via the strategic law of large numbers. The…

  • Lu Lu on MIT Technology Review’s Innovators Under 35 list

    We are proud to announce that Prof. Lu Lu has been named to the MIT Technology Review’s Innovators Under 35 list for the Asia Pacific region. This award recognizes his groundbreaking work in  operator learning and significantly improved accuracy, efficiency, and generalization ability of the model in specific fields. You can learn more about this…

  • FDS Postdoctoral Applications: Due December 15, 2025

    Yale’s Institute for Foundations of Data Science (FDS) is seeking applications for postdoctoral positions in Data Science. These will be generously supported postdoctoral positions, expected to last 2-3 years, for independent scholars working on the foundations of data science. FDS postdocs can select multiple mentors from among the members of the institute, and can change their mentors during their fellowship. This is…

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