• Inequality across networks

    Inequality across networks

    Eaman Jahani examines how resources are distributed across networks as a Social & Engineering Systems (SES) and Statistics PhD student at the Institute for Data, Systems, and Society.


  • Partnering to advance data science education

    Partnering to advance data science education

    In close collaboration with Peruvian social impact platform Aporta, IDSS has developed a virtual tool to help assess learners’ readiness for rigorous online courses in data science.


  • NSF awards MIT $12.5m for data science collaboration between MIT and UC Berkeley

    NSF awards MIT $12.5m for data science collaboration between MIT and UC Berkeley

    PIs for the new Foundations of Data Science Institute (FODSI), which will work to improve understanding of critical issues and societal impacts in data science, include Philippe Rigollet and Devavrat Shah of IDSS and LIDS.


  • IDSS researchers awarded for study of theoretical foundations of deep learning

    IDSS researchers awarded for study of theoretical foundations of deep learning

    NSF and the Simons Foundation awarded an interdisciplinary team that includes IDSS professors Sasha Rakhlin and Elchanan Mossel to examine aspects of deep learning that are poorly understood.


  • Bridging physics, AI, and data science

    Bridging physics, AI, and data science

    A new NSF-funded MIT institute, directed by Statistics and Data Science Center affiliate Jesse Thaler, will bridge physics and AI, while Physics plans to join the Interdisciplinary Doctoral Program in Statistics.