Name: The revolutionary impact and emerging challenges of generative AI in STEM research and education
Start: 2024-01-18T09:00:00-05:00
End: 2024-01-19T17:00:00-05:00
Location: Harvard (Thur)/MIT (Fri)

The revolutionary impact and emerging challenges of generative AI in STEM research and education

from Thursday, January 18, 2024 (9:00 AM) to Friday, January 19, 2024 (5:00 PM)

Monday, January 15, 2024
Tuesday, January 16, 2024
Wednesday, January 17, 2024
Thursday, January 18, 2024
9:00 AM Introduction and Welcome - Kevin Burdge (MIT) Logan McCarty (Harvard University)
Introduction and Welcome
- Kevin Burdge (MIT)
- Logan McCarty (Harvard University)
9:00 AM - 9:10 AM
Room: Science Center B
9:10 AM Keynote: Generative AI in Education: Experiences and lessons learned - Kavita Bala (Cornell)
Keynote: Generative AI in Education: Experiences and lessons learned
- Kavita Bala (Cornell)
9:10 AM - 10:00 AM
Room: Science Center B
10:00 AM Undermind: Introducing Deep Scientific Search on ArXiv - Joshua Ramette (MIT)
Undermind: Introducing Deep Scientific Search on ArXiv
- Joshua Ramette (MIT)
10:00 AM - 10:15 AM
Room: Science Center B
10:15 AM Leveraging Generative AI for Efficient Literature Review and Synthesis - Ethan Kyzivat (Harvard)
Leveraging Generative AI for Efficient Literature Review and Synthesis
- Ethan Kyzivat (Harvard)
10:15 AM - 10:30 AM
Room: Science Center B
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
Room: Science Center Arcade
11:00 AM Toward Physics of Intelligence: Can Generative AI Imagine? - Hidenori Tanaka (Harvard)
Toward Physics of Intelligence: Can Generative AI Imagine?
- Hidenori Tanaka (Harvard)
11:00 AM - 11:15 AM
Room: Science Center B
11:15 AM Enhancing Academic Research with Locally-Run LLMs: Retrieval-Augmented Generation using Sparse Mixture of Experts - Nikhil Mukund (MIT)
Enhancing Academic Research with Locally-Run LLMs: Retrieval-Augmented Generation using Sparse Mixture of Experts
- Nikhil Mukund (MIT)
11:15 AM - 11:30 AM
Room: Science Center B
11:30 AM Panel Discussion - Ethan Kyzivat (Harvard) Kavita Bala (Cornell) Joshua Rammette (MIT) Hidenori Tanaka (Harvard) Nikhil Mukund (MIT)
Panel Discussion
- Ethan Kyzivat (Harvard)
- Kavita Bala (Cornell)
- Joshua Rammette (MIT)
- Hidenori Tanaka (Harvard)
- Nikhil Mukund (MIT)
11:30 AM - 12:00 PM
Room: Science Center B
12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Lunch on your own
1:30 PM What should today's undergraduates know about Generative AI? - Logan McCarty (Harvard University)
What should today's undergraduates know about Generative AI?
- Logan McCarty (Harvard University)
1:30 PM - 1:45 PM
Room: Science Center B
1:45 PM Afternoon keynote: Automated Question Modification to Challenge AI Models - Soroush Vosoughi (Dartmouth)
Afternoon keynote: Automated Question Modification to Challenge AI Models
- Soroush Vosoughi (Dartmouth)
1:45 PM - 2:15 PM
Room: Science Center B
2:15 PM AI and the Future of STEM Education - Jack Maier (MIT)
AI and the Future of STEM Education
- Jack Maier (MIT)
2:15 PM - 2:30 PM
Room: Science Center B
2:30 PM Afternoon coffee break
Afternoon coffee break
2:30 PM - 3:00 PM
Room: Science Center Arcade
3:00 PM Comparing AI-Supported Instruction vs. Active Learning in Introductory Physics - Greg Kestin (Harvard) Kelly Miller (Harvard)
Comparing AI-Supported Instruction vs. Active Learning in Introductory Physics
- Greg Kestin (Harvard)
- Kelly Miller (Harvard)
3:00 PM - 3:30 PM
Room: Science Center B
3:30 PM AI & Mathematics: Exploring AI as a Culturally Relevant Intervention for Attaining Numeracy in Low-Income, K-12 Pedagogical Contexts - Damion Mannings (Harvard)
AI & Mathematics: Exploring AI as a Culturally Relevant Intervention for Attaining Numeracy in Low-Income, K-12 Pedagogical Contexts
- Damion Mannings (Harvard)
3:30 PM - 3:45 PM
Room: Science Center B
3:45 PM AI-Enhanced Pedagogy in CS50: From Personalized Tutoring to Holistic Support - Rongxin Liu
AI-Enhanced Pedagogy in CS50: From Personalized Tutoring to Holistic Support
- Rongxin Liu
3:45 PM - 4:00 PM
Room: Science Center B
4:00 PM Day 1 panel and open discussion - Kelly Miller (Harvard) Kavita Bala (Cornell) Rongxin Liu Damion Mannings (Harvard) Greg Kestin (Harvard) Jack Maier (MIT) Soroush Vosoughi (Dartmouth)
Day 1 panel and open discussion
- Kelly Miller (Harvard)
- Kavita Bala (Cornell)
- Rongxin Liu
- Damion Mannings (Harvard)
- Greg Kestin (Harvard)
- Jack Maier (MIT)
- Soroush Vosoughi (Dartmouth)
4:00 PM - 5:00 PM
Room: Science Center B
Friday, January 19, 2024
9:00 AM Introduction and welcome for day 2 - Kevin Burdge (MIT)
Introduction and welcome for day 2
- Kevin Burdge (MIT)
9:00 AM - 9:05 AM
Room: Room 10-250
9:05 AM Keynote: Generative AI: What's it good for, and what's it good at? - Christopher Stubbs (Harvard)
Keynote: Generative AI: What's it good for, and what's it good at?
- Christopher Stubbs (Harvard)
9:05 AM - 9:45 AM
Room: Room 10-250
9:45 AM A2rchi: An open-source, end-to-end AI framework for research and education - Julius Heitkoetter (MIT)
A2rchi: An open-source, end-to-end AI framework for research and education
- Julius Heitkoetter (MIT)
9:45 AM - 10:00 AM
Room: Room 10-250
10:00 AM GenPhys and Beyond: Unveiling the Synergy of Physics and Diffusion Models in Generative Processes. - Ziming Liu (MIT)
GenPhys and Beyond: Unveiling the Synergy of Physics and Diffusion Models in Generative Processes.
- Ziming Liu (MIT)
10:00 AM - 10:15 AM
Room: Room 10-250
10:15 AM Supernova Science in the AI Era: Pioneering Real-Time Analysis with Large Language Models - Alexander Gagliano (MIT)
Supernova Science in the AI Era: Pioneering Real-Time Analysis with Large Language Models
- Alexander Gagliano (MIT)
10:15 AM - 10:30 AM
Room: Room 10-250
10:30 AM Coffee break
Coffee break
10:30 AM - 11:00 AM
Room: Lobby 13
11:00 AM Revolutionizing Personalized Learning: Introducing Squirrel Ai's Large Adaptive Model (LAM) - Joleen Liang (Squirrel Ai Learning & Technology)
Revolutionizing Personalized Learning: Introducing Squirrel Ai's Large Adaptive Model (LAM)
- Joleen Liang (Squirrel Ai Learning & Technology)
11:00 AM - 11:15 AM
Room: Room 10-250
11:15 AM Facial Recognition, Black Women, and Cops: An Urgent Need for an Ethical Framework to Prevent Algorithmic Bias - Damion Mannings (Harvard)
Facial Recognition, Black Women, and Cops: An Urgent Need for an Ethical Framework to Prevent Algorithmic Bias
- Damion Mannings (Harvard)
11:15 AM - 11:30 AM
Room: Harvard Science Center/MIT 10-250
11:30 AM Morning panel+discussion - Julius Heitkoetter (MIT) Ziming Liu (MIT) Alexander Gagliano (MIT) Damion Mannings (Harvard) Christopher Stubbs (Harvard) Kevin Burdge (MIT)
Morning panel+discussion
- Julius Heitkoetter (MIT)
- Ziming Liu (MIT)
- Alexander Gagliano (MIT)
- Damion Mannings (Harvard)
- Christopher Stubbs (Harvard)
- Kevin Burdge (MIT)
11:30 AM - 12:00 PM
Room: Room 10-250
12:00 PM Lunch
Lunch
12:00 PM - 1:30 PM
Room: Lunch on your own
1:30 PM Afternoon keynote - Christopher Capozzola (MIT)
Afternoon keynote
- Christopher Capozzola (MIT)
1:30 PM - 2:00 PM
Room: Room 10-250
2:00 PM Shaping the Future of High-Energy Physics: The Role of Foundation Models in Higgs Boson Identification and Anomaly Detection - Philip Harris (MIT)
Shaping the Future of High-Energy Physics: The Role of Foundation Models in Higgs Boson Identification and Anomaly Detection
- Philip Harris (MIT)
2:00 PM - 2:15 PM
Room: Room 10-250
2:15 PM Heterogeneity research can be critical for bridging the gap between AI innovations and biomedicine - Zhanshan Ma (Harvard)
Heterogeneity research can be critical for bridging the gap between AI innovations and biomedicine
- Zhanshan Ma (Harvard)
2:15 PM - 2:30 PM
Room: Room 10-250
2:30 PM Afternoon coffee break
Afternoon coffee break
2:30 PM - 3:00 PM
Room: Lobby 13
3:00 PM The AI Patient Actor: Technology-Supported Clinical Skill Development in Medical Training - Thomas Thesen (Dartmouth)
The AI Patient Actor: Technology-Supported Clinical Skill Development in Medical Training
- Thomas Thesen (Dartmouth)
3:00 PM - 3:15 PM
Room: Room 10-250
3:15 PM LLMs in astrophysics graduate student research - Emma Chickles (MIT)
LLMs in astrophysics graduate student research
- Emma Chickles (MIT)
3:15 PM - 3:30 PM
Room: Room 10-250
3:30 PM Integrating generative AI as a tool in large enrollment physics courses - Mohamed Abdelhafez (MIT)
Integrating generative AI as a tool in large enrollment physics courses
- Mohamed Abdelhafez (MIT)
3:30 PM - 3:45 PM
Room: Harvard Science Center/MIT 10-250
3:45 PM End of workshop panel+discussion - Zhanshan (Sam) Ma Mohamed Abdelhafez (MIT) Christopher Stubbs (Harvard) Christopher Capozzola (MIT) Emma Chickles (MIT) Thomas Thesen (Dartmouth) Philip Harris (Massachusetts Institute of Technology)
End of workshop panel+discussion
- Zhanshan (Sam) Ma
- Mohamed Abdelhafez (MIT)
- Christopher Stubbs (Harvard)
- Christopher Capozzola (MIT)
- Emma Chickles (MIT)
- Thomas Thesen (Dartmouth)
- Philip Harris (Massachusetts Institute of Technology)
3:45 PM - 4:45 PM
Room: Room 10-250
4:45 PM Closing remarks - Kevin Burdge (MIT)
Closing remarks
- Kevin Burdge (MIT)
4:45 PM - 5:00 PM
Room: Room 10-250