ML Challenge: Scientific-MOOD FAIR Challenge
Machine Learning Live Virtual Hackathon
Thursday, December 18, 2025 · 2 - 5 PM
Online
Get ready to hack the future of science in our Machine Learning Challenge: Scientific-MOOD FAIR
Join us Live for an exciting national virtual hackathon event on Thursday, December 18 2p - 4p
Registration required , seats are limited.
In this Live Virtual Hackathon compete with people and teams across the nation and put your machine learning skills to the
test! You'll be using open scientific data to tackle one of the most
exciting challenges in AI: predicting out-of-domain events, actions, and
climatic conditions.
There are three distinct scientific problems to hack (or you can choose them all!)
- Neural Forecasting: We forecast the activations of a cluster of neurons given previous signals from the same cluster. This targets the critical problem of brain-artificial neuron interfaces, and these models can be used in brain-chip interfaces for artificial limb control, amongst many others.
- Climate prediction using ecological data: We predict drought conditions at field sites over short, medium, and long timescales using images of an important group of ecological indicator organisms (ground beetles) collected there. The resulting models can be used to understand how the impacts of future climate conditions may be reflected in observable features of sentinel taxa.
- Coastal flooding prediction over time: We model the sea levels at various sites over decades, with the aim of predicting future coastal floods. The resulting model will be essential for understanding the real-world impacts of climate change.
This event will start with an introduction to the Codabench platform and
presentations on each of the three benchmarks used for this year's
challenge. All the remaining time will be dedicated to team formation
and general trying out of the challenge, all with organizers available
to answer questions.
More information on the HDR ML Challenge visit: https://www.nsfhdr.org/mlchallenge-y2
To register: https://indico.cern.ch/event/1607943/
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The HDR ML Challenge was developed by and for: a3d3, imageomics, and iHARP.
The Harnessing the Data Revolution Ecosystem is supported by the National Science Foundation under Awards 2118240, 2118201, 2118285, 2118329 and 2117997. Any
opinions, findings and conclusions or recommendations expressed in this
material are those of the author(s) and do not necessarily reflect the
views of the National Science Foundation.
