Join the Organizing Team for the 2025 ML Marathon!
Thank you for your interest in contributing to the 2025 Machine Learning Marathon! Please fill out this short form to let us know how you'd like to get involved.  

We will have our first meeting in mid-May, and meet 2-3 times per month leading up to the event. Depending on your selected role, you may not have to attend every meeting. However, some work (e.g., sending emails) may need to be completed outside of meetings (1-2 hours/month).

Please contact endemann@wisc.edu with any questions.
Name *
Email *
Affiliation (e.g., Major, Dept., or Company) *
Which role(s) best describe you?  *
Select all that apply.
Required

Which role(s) are you interested in? 

For more information about each role available, visit  https://hub.datascience.wisc.edu/2025-machine-learning-marathon/#volunteer    


 *
Select all that apply.
Required
The organizing team is made up of volunteers, and we want to make sure everyone gets something meaningful out of the experience. Could you share a bit about what draws you to volunteer—whether for a specific role or just in general? *
If you selected the advisor role, please tell us a little bit about your ML/AI experience and interests.
What methods and models are you most comfortable with (e.g., computer vision, NLP, time-series forecasting, LLMs, RAG, etc.)? Are there any specific application areas that interest you more (e.g., medical imaging, ecology, weather forecasting, etc.)?
If you selected the presenter role, please share your idea for a presentation during one of the weekly "sprint" events. If you're not sure yet, that's okay too.

Presenters will share ML tools, workflows, or lessons during the weekly sprint events. These presentations can be live walkthroughs in Jupyter notebooks, short slide decks, or informal knowledge-sharing sessions. The goal is to make useful tools and techniques feel approachable. Past demos have included reproducible ML workflows, tips for exploratory data analysis, AWS SageMaker lessons, and more. Other demos of interest may include, but are not limited to:

  • Getting started with UNET, SHAP, BERT, XGBOOST, or other popular libraries and models (e.g., short Jupyter notebook demos)
  • Tips for transfer learning and finetuning
  • Navigating and interpreting t-SNE, PaCMAP, and other dimensionality reduction or data viz. techniques
If you selected the project organizer role AND you want to submit a project for the 2025 ML Marathon (not just help find projects), please outline:

 A) A clearly defined problem that competitors need to solve using a machine learning model

B) The size of the data that will be used in the project (number of samples, number of features), and any key features of the data

C) How much time it will take to prepare the data needed for the competition (e.g., cleaning, annotating labels, etc.)

D) Recommended prerequisites to fully participate in this project (e.g., participants should have deep learning experience already or willing to learn)
Please fill out this Calendly poll to help us schedule our first meeting the week of May 12-16. Don't forget to submit your google form responses as well! *
Anything else you'd like us to know? Any questions for the organizers?
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