Project Pre-Proposal

Peer Feedback Workshop

ML for Science and Engineering — February 24, 2026

Pre-Proposal Feedback Session

Guidelines

Format
One page maximum. Concise and focused.
1. Scientific Question
A clear, specific question. Why is it significant? What is the goal?
2. Dataset
Real data preferred. Include source link. Synthetic OK if methodological contribution is clear.
3. ML Method(s)
SINDy, symbolic regression, PINNs, neural ODEs, DMD, autoencoders, or others. Why this method?
4. Scientific Inductive Biases
Conservation laws, symmetries, known interaction terms, spatiotemporal structure, etc.
5. References (3+)
Original method paper, application to similar system, scientific domain paper.
1 Guidelines Review & Q&A 5:00
2 Exercise Explanation 5:00
3 Peer Review: Read & Comment 10:00
4 Discuss Paper A 10:00
5 Discuss Paper B 10:00
6 Self-Review & Revisions 5:00
7 Share Out: Teams Present 15:00
8 Debrief & What's Next 10:00
Total: 70:00

Next Steps

Today: Post updated pre-proposal + review summary on Slack

March 3: Full project proposal due (2 pages max, on Slack #project-hub thread)

Proposal requirements: Motivation & question, data description, process & timeline, methodology, evaluation strategy

See full project instructions for details.