How Early-Career Physicists Are Solving Society's Greatest Challenges

INVITED · MAR-M01 · ID: 3676349

Presentations

  • ORAL · Invited

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    Publication: Rios-Berrios, R., C. A. Davis, and J. Martinez, 2023: Tropical cyclones and equatorial waves in a convection-permitting aquaplanet simulation with off-equatorial SST maximum. J. Adv. Model. Earth Sys., 15, e2023MS003723. https://doi.org/10.1029/2023MS003723

    Rios-Berrios, R., B. H. Tang, C. A. Davis, and J. Martinez, 2024: Modulation of Tropical Cyclogenesis by Convectively Coupled Kelvin Waves. Mon. Wea. Rev., 152, 2309–2322, https://doi.org/10.1175/MWR-D-24-0052.1.

    Presenters

    • Rosimar Rios-Berrios

      • NSF NCAR
      • NSF National Center for Atmospheric Research

    Authors

    • Rosimar Rios-Berrios

      • NSF NCAR
      • NSF National Center for Atmospheric Research

    View abstract →

  • ORAL · Invited

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    Publication: Heady, Ashley, and Savannah Thais. "AI Awareness Survey of Educators." Proceedings of Machine Learning Research 1.245 (2025): 249.
    Thais, Savannah. "Physics and the empirical gap of trustworthy AI." Nature Reviews Physics 6.11 (2024): 640-641.
    Thais, Savannah. "Misrepresented technological solutions in imagined futures: The origins and dangers of ai hype in the research community." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society. Vol. 7. 2024.
    Acquaviva, Viviana, et al. "Ethics in climate AI: From theory to practice." PLOS Climate 3.8 (2024): e0000465.
    Thais, Savannah, and Daniel Murnane. "Equivariance is not all you need: characterizing the utility of equivariant graph neural networks for particle physics tasks." arXiv preprint arXiv:2311.03094 (2023).
    Thais, Savannah. "AI Ethics Education for Scientists." NeurIPS 2023 AI for Science Workshop. 2023.

    Presenters

    • Savannah J Thais

      • Columbia University

    Authors

    • Savannah J Thais

      • Columbia University

    View abstract →