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, 18 January 2024 (09:00) to Friday, 19 January 2024 (17:00)

Monday, 15 January 2024
Tuesday, 16 January 2024
Wednesday, 17 January 2024
Thursday, 18 January 2024
09:00 Introduction and Welcome - Kevin Burdge (MIT) Logan McCarty (Harvard University)
Introduction and Welcome
- Kevin Burdge (MIT)
- Logan McCarty (Harvard University)
09:00 - 09:10
Room: Science Center B
09:10 Keynote: Generative AI in Education: Experiences and lessons learned - Kavita Bala (Cornell)
Keynote: Generative AI in Education: Experiences and lessons learned
- Kavita Bala (Cornell)
09:10 - 10:00
Room: Science Center B
10:00 Undermind: Introducing Deep Scientific Search on ArXiv - Joshua Ramette (MIT)
Undermind: Introducing Deep Scientific Search on ArXiv
- Joshua Ramette (MIT)
10:00 - 10:15
Room: Science Center B
10:15 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 - 10:30
Room: Science Center B
10:30 Coffee break
Coffee break
10:30 - 11:00
Room: Science Center Arcade
11:00 Toward Physics of Intelligence: Can Generative AI Imagine? - Hidenori Tanaka (Harvard)
Toward Physics of Intelligence: Can Generative AI Imagine?
- Hidenori Tanaka (Harvard)
11:00 - 11:15
Room: Science Center B
11:15 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 - 11:30
Room: Science Center B
11:30 Panel Discussion - Nikhil Mukund (MIT) Kavita Bala (Cornell) Ethan Kyzivat (Harvard) Joshua Rammette (MIT) Hidenori Tanaka (Harvard)
Panel Discussion
- Nikhil Mukund (MIT)
- Kavita Bala (Cornell)
- Ethan Kyzivat (Harvard)
- Joshua Rammette (MIT)
- Hidenori Tanaka (Harvard)
11:30 - 12:00
Room: Science Center B
12:00 Lunch
Lunch
12:00 - 13:30
Room: Lunch on your own
13:30 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)
13:30 - 13:45
Room: Science Center B
13:45 Afternoon keynote: Automated Question Modification to Challenge AI Models - Soroush Vosoughi (Dartmouth)
Afternoon keynote: Automated Question Modification to Challenge AI Models
- Soroush Vosoughi (Dartmouth)
13:45 - 14:15
Room: Science Center B
14:15 AI and the Future of STEM Education - Jack Maier (MIT)
AI and the Future of STEM Education
- Jack Maier (MIT)
14:15 - 14:30
Room: Science Center B
14:30 Afternoon coffee break
Afternoon coffee break
14:30 - 15:00
Room: Science Center Arcade
15:00 Comparing AI-Supported Instruction vs. Active Learning in Introductory Physics - Kelly Miller (Harvard) Greg Kestin (Harvard)
Comparing AI-Supported Instruction vs. Active Learning in Introductory Physics
- Kelly Miller (Harvard)
- Greg Kestin (Harvard)
15:00 - 15:30
Room: Science Center B
15:30 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)
15:30 - 15:45
Room: Science Center B
15:45 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
15:45 - 16:00
Room: Science Center B
16:00 Day 1 panel and open discussion - Soroush Vosoughi (Dartmouth) Kavita Bala (Cornell) Rongxin Liu Damion Mannings (Harvard) Greg Kestin (Harvard) Jack Maier (MIT) Kelly Miller (Harvard)
Day 1 panel and open discussion
- Soroush Vosoughi (Dartmouth)
- Kavita Bala (Cornell)
- Rongxin Liu
- Damion Mannings (Harvard)
- Greg Kestin (Harvard)
- Jack Maier (MIT)
- Kelly Miller (Harvard)
16:00 - 17:00
Room: Science Center B
Friday, 19 January 2024
09:00 Introduction and welcome for day 2 - Kevin Burdge (MIT)
Introduction and welcome for day 2
- Kevin Burdge (MIT)
09:00 - 09:05
Room: Room 10-250
09:05 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)
09:05 - 09:45
Room: Room 10-250
09:45 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)
09:45 - 10:00
Room: Room 10-250
10:00 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 - 10:15
Room: Room 10-250
10:15 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 - 10:30
Room: Room 10-250
10:30 Coffee break
Coffee break
10:30 - 11:00
Room: Lobby 13
11:00 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 - 11:15
Room: Room 10-250
11:15 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 - 11:30
Room: Harvard Science Center/MIT 10-250
11:30 Morning panel+discussion - Kevin Burdge (MIT) Ziming Liu (MIT) Alexander Gagliano (MIT) Damion Mannings (Harvard) Christopher Stubbs (Harvard) Julius Heitkoetter (MIT)
Morning panel+discussion
- Kevin Burdge (MIT)
- Ziming Liu (MIT)
- Alexander Gagliano (MIT)
- Damion Mannings (Harvard)
- Christopher Stubbs (Harvard)
- Julius Heitkoetter (MIT)
11:30 - 12:00
Room: Room 10-250
12:00 Lunch
Lunch
12:00 - 13:30
Room: Lunch on your own
13:30 Afternoon keynote - Christopher Capozzola (MIT)
Afternoon keynote
- Christopher Capozzola (MIT)
13:30 - 14:00
Room: Room 10-250
14:00 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)
14:00 - 14:15
Room: Room 10-250
14:15 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)
14:15 - 14:30
Room: Room 10-250
14:30 Afternoon coffee break
Afternoon coffee break
14:30 - 15:00
Room: Lobby 13
15:00 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)
15:00 - 15:15
Room: Room 10-250
15:15 LLMs in astrophysics graduate student research - Emma Chickles (MIT)
LLMs in astrophysics graduate student research
- Emma Chickles (MIT)
15:15 - 15:30
Room: Room 10-250
15:30 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)
15:30 - 15:45
Room: Harvard Science Center/MIT 10-250
15:45 End of workshop panel+discussion - Thomas Thesen (Dartmouth) Philip Harris (Massachusetts Institute of Technology) Emma Chickles (MIT) Mohamed Abdelhafez (MIT) Zhanshan (Sam) Ma Christopher Capozzola (MIT) Christopher Stubbs (Harvard)
End of workshop panel+discussion
- Thomas Thesen (Dartmouth)
- Philip Harris (Massachusetts Institute of Technology)
- Emma Chickles (MIT)
- Mohamed Abdelhafez (MIT)
- Zhanshan (Sam) Ma
- Christopher Capozzola (MIT)
- Christopher Stubbs (Harvard)
15:45 - 16:45
Room: Room 10-250
16:45 Closing remarks - Kevin Burdge (MIT)
Closing remarks
- Kevin Burdge (MIT)
16:45 - 17:00
Room: Room 10-250