INFORMS 2026 Data Mining Society Data Challenge
We are pleased to announce the INFORMS 2026 Data Mining Society Data Challenge: "Forecasting Infrastructure Resilience Under Extreme Weather." Participants will develop spatiotemporal forecasting models using real-world power-outage and weather data to predict county-level outage severity during successive extreme-weather events. The competition is open to currently enrolled undergraduate and graduate students, as well as postdoctoral researchers, with teams of up to four members and interdisciplinary participation strongly encouraged.
The registration deadline is August 31, 2026, and final submissions are due September 25, 2026. The top four teams will be invited to present their work at the INFORMS 2026 Annual Meeting in San Francisco and will receive cash prizes and certificates of recognition. To register, please visit: https://forms.gle/snHGp75SbKj1hfry5.
Please feel free to share this opportunity with interested students, postdoctoral researchers, and colleagues.
Good Luck!
Competition Co-Chairs,
Imtiaz Ahmed (imtiaz.ahmed@mail.wvu.edu), West Virginia University
Zimo Wang (zimo.wang@binghamton.edu), Binghamton University
Woody Zhu (shixianz@andrew.cmu.edu), Carnegie Mellon University
Jason Shafer (jay@poweroutage.us), PowerOutage.com
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Zimo Wang
Assistant Professor
SUNY Binghamton
Binghamton NY
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