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