UIUC Hackathon for the NSF HDR ML Challenge

Harnessing the Data Revolution Machine Learning Challenge

Image depicting Computational Neuroscience: Forecasting Monkey Motor Neural Behavior learn neural dynamics Biology: Using Beetles as Sentinel Taxa to predict drought conditions Climate Change: Predicting Costal Flooding Events by modeling sea levels using buoy data over decades

It is time for the second annual NSF Harnessing the Data Revolution (HDR) AI/ML Hackathon! After a very successful first year of the Physics Department HEP Group Public ML Challenge, which was focused on anomaly detection for gravitational wave physics, butterfly species, and climate events, we are back for another hackathon this year

Join us for new challenges, new prizes, and an even better event! 



This year’s AI/ML Challenge  is focused on AI/ML-based forecasting and modeling of out-of-distribution data with three new scientific datasets provided by researchers from the NSF AI HDR Institutes (Illinois is a leader in the A3D3 Institute on real-time AI for science):

Top submissions win prizes! Currently, $4000 in prizes has been secured from various sponsors. The winners will also be supported to travel to the FAIR in ML, AI Readiness, & Reproducibility (FARR) Conference this spring in Washington, DC to present their winning solution. 

To inform about this challenge and facilitate participation among our Illinois community, there is a hackathon event this coming Tuesday (Feb 3) organized by the Experimental HEP Group and run by two of Dr. Mark Neubauer’s graduate students:

Hackathon event details at https://indico.cern.ch/event/1643948/

There also will be pizza provided at the event (supported by a supplement grant from the NSF). 

Please register (free) at https://go.physics.illinois.edu/HDR-ML-Challenge-Hackathon to reserve your slot for in-person attendance (really just to get a count for the pizza order and comply with NSF rules).

Center for Artificial Intelligence Innovation
1205 W. Clark St.
Urbana, Illinois 61801
Email: caii_ai@lists.illinois.edu
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