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
-
Logan McCarty
(
Harvard University
)
Kevin Burdge
(
MIT
)
Introduction and Welcome
Logan McCarty
(
Harvard University
)
Kevin Burdge
(
MIT
)
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
-
Ethan Kyzivat
(
Harvard
)
Joshua Rammette
(
MIT
)
Hidenori Tanaka
(
Harvard
)
Nikhil Mukund
(
MIT
)
Kavita Bala
(
Cornell
)
Panel Discussion
Ethan Kyzivat
(
Harvard
)
Joshua Rammette
(
MIT
)
Hidenori Tanaka
(
Harvard
)
Nikhil Mukund
(
MIT
)
Kavita Bala
(
Cornell
)
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
-
Jack Maier
(
MIT
)
Soroush Vosoughi
(
Dartmouth
)
Rongxin Liu
Kavita Bala
(
Cornell
)
Greg Kestin
(
Harvard
)
Damion Mannings
(
Harvard
)
Kelly Miller
(
Harvard
)
Day 1 panel and open discussion
Jack Maier
(
MIT
)
Soroush Vosoughi
(
Dartmouth
)
Rongxin Liu
Kavita Bala
(
Cornell
)
Greg Kestin
(
Harvard
)
Damion Mannings
(
Harvard
)
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
-
Damion Mannings
(
Harvard
)
Ziming Liu
(
MIT
)
Christopher Stubbs
(
Harvard
)
Alexander Gagliano
(
MIT
)
Julius Heitkoetter
(
MIT
)
Kevin Burdge
(
MIT
)
Morning panel+discussion
Damion Mannings
(
Harvard
)
Ziming Liu
(
MIT
)
Christopher Stubbs
(
Harvard
)
Alexander Gagliano
(
MIT
)
Julius Heitkoetter
(
MIT
)
Kevin Burdge
(
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
-
Philip Harris
(
Massachusetts Institute of Technology
)
Zhanshan (Sam) Ma
Thomas Thesen
(
Dartmouth
)
Christopher Capozzola
(
MIT
)
Emma Chickles
(
MIT
)
Christopher Stubbs
(
Harvard
)
Mohamed Abdelhafez
(
MIT
)
End of workshop panel+discussion
Philip Harris
(
Massachusetts Institute of Technology
)
Zhanshan (Sam) Ma
Thomas Thesen
(
Dartmouth
)
Christopher Capozzola
(
MIT
)
Emma Chickles
(
MIT
)
Christopher Stubbs
(
Harvard
)
Mohamed Abdelhafez
(
MIT
)
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