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Agentic AI for Science (AAI4Science) Hackathon 2025

Date: Thursday, November 6, 2025
Location: Bloomberg Student Center, Room 204 (Hybrid)
Registration: Register here
Colab Notebook: Open in Colab
Submission Form: Google Form
AtomGPT.org API (AGAPI): GitHub Repository

YouTube video https://www.youtube.com/watch?v=L2iqlogVLAc


๐ŸŒ Overview

The Agentic AI for Science (AAI4Science) Hackathon 2025 invites participants to explore and evaluate the capabilities of AI tools across scientific disciplines.
This event aims to benchmark how well agentic AI systems reason, explain, and generalize across Physics, Chemistry, Mathematics, and Biology (PCMB) tasks.

Participating AI Platforms

These models can generate insightful and accurate responses, but they also hallucinateโ€”producing incorrect outputs with high confidence.
Understanding, evaluating, and mitigating such behaviors is essential for trustworthy and reproducible scientific discovery.


๐Ÿงฉ Objectives

  • Gain hands-on experience with cutting-edge AI tools.
  • Identify and categorize hallucinations (false but confident outputs).
  • Develop and share reproducible test prompts and datasets.
  • Foster open collaboration toward benchmarking AI for science.

๐Ÿ—“๏ธ Event Schedule

Time Activity
1:00 pm โ€“ 1:10 pm Welcome & Orientation
1:10 pm โ€“ 1:15 pm Deanโ€™s Remarks
1:15 pm โ€“ 3:00 pm Hackathon Session
2:50 pm โ€“ 3:00 pm Closing Discussion

Format: Hybrid (in-person + Zoom)
A Zoom link will be emailed to all registered participants.
Refreshments will be provided for in-person attendees.


๐Ÿง  How to Participate

  1. Join the event in person or virtually.
  2. Attend the introduction session.
  3. Open the Colab notebook to explore examples.
  4. Complete the assigned tasks using the AI tools provided.
  5. Save your Colab notebook as a GitHub Gist.
  6. Add your Colab link (with solutions) in the Google Form.
  7. Submit your results through the form before the deadline.

๐Ÿ† Recognition

  • Top evaluations and insights will be highlighted on the JARVIS Leaderboard

  • Get featured in a future journal publication summarizing the hackathon outcomes.

  • Win gift cards


๐Ÿ“ฉ Contact

Dr. Kamal Choudhary
Assistant Professor, Johns Hopkins University
Email: kchoudh2@jhu.edu
Website: AtomGPT.org


Letโ€™s make AI for science reliable, transparent, and truly agentic!

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