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

Contribution List

1. Introduction and Welcome

Kevin Burdge (MIT), Dr Logan McCarty (Harvard University)

18/01/2024, 09:00

4. Keynote: Generative AI in Education: Experiences and lessons learned

Prof. Kavita Bala (Cornell)

18/01/2024, 09:10

2. Undermind: Introducing Deep Scientific Search on ArXiv

Joshua Ramette (MIT)

18/01/2024, 10:00

3. Leveraging Generative AI for Efficient Literature Review and Synthesis

Dr Ethan Kyzivat (Harvard)

18/01/2024, 10:15

5. Toward Physics of Intelligence: Can Generative AI Imagine?

Dr Hidenori Tanaka (Harvard)

18/01/2024, 11:00

30. Enhancing Academic Research with Locally-Run LLMs: Retrieval-Augmented Generation using Sparse Mixture of Experts

Dr Nikhil Mukund (MIT)

18/01/2024, 11:15

6. Panel Discussion

Prof. Kavita Bala (Cornell), Joshua Rammette (MIT), Dr Ethan Kyzivat (Harvard), Dr Hidenori Tanaka (Harvard), Dr Nikhil Mukund (MIT)

18/01/2024, 11:30

31. What should today's undergraduates know about Generative AI?

Dr Logan McCarty (Harvard University)

18/01/2024, 13:30

8. Afternoon keynote: Automated Question Modification to Challenge AI Models

Prof. Soroush Vosoughi (Dartmouth)

18/01/2024, 13:45

9. AI and the Future of STEM Education

Jack Maier (MIT)

18/01/2024, 14:15

10. Comparing AI-Supported Instruction vs. Active Learning in Introductory Physics

Dr Greg Kestin (Harvard), Dr Kelly Miller (Harvard)

18/01/2024, 15:00

11. AI & Mathematics: Exploring AI as a Culturally Relevant Intervention for Attaining Numeracy in Low-Income, K-12 Pedagogical Contexts

Damion Mannings (Harvard)

18/01/2024, 15:30

12. AI-Enhanced Pedagogy in CS50: From Personalized Tutoring to Holistic Support

Rongxin Liu

18/01/2024, 15:45

13. Day 1 panel and open discussion

Prof. Kavita Bala (Cornell), Damion Mannings (Harvard), Dr Greg Kestin (Harvard), Rongxin Liu, Jack Maier (MIT), Dr Kelly Miller (Harvard), Prof. Soroush Vosoughi (Dartmouth)

18/01/2024, 16:00

14. Introduction and welcome for day 2

Kevin Burdge (MIT)

19/01/2024, 09:00

15. Keynote: Generative AI: What's it good for, and what's it good at?

Prof. Christopher Stubbs (Harvard)

19/01/2024, 09:05

16. A2rchi: An open-source, end-to-end AI framework for research and education

Julius Heitkoetter (MIT)

19/01/2024, 09:45

17. GenPhys and Beyond: Unveiling the Synergy of Physics and Diffusion Models in Generative Processes.

Ziming Liu (MIT)

19/01/2024, 10:00

18. Supernova Science in the AI Era: Pioneering Real-Time Analysis with Large Language Models

Dr Alexander Gagliano (MIT)

19/01/2024, 10:15

27. Revolutionizing Personalized Learning: Introducing Squirrel Ai's Large Adaptive Model (LAM)

Joleen Liang (Squirrel Ai Learning & Technology)

19/01/2024, 11:00

20. Facial Recognition, Black Women, and Cops: An Urgent Need for an Ethical Framework to Prevent Algorithmic Bias

Damion Mannings (Harvard)

19/01/2024, 11:15

21. Morning panel+discussion

Prof. Christopher Stubbs (Harvard), Dr Alexander Gagliano (MIT), Damion Mannings (Harvard), Julius Heitkoetter (MIT), Kevin Burdge (MIT), Ziming Liu (MIT)

19/01/2024, 11:30

22. Afternoon keynote

Prof. Christopher Capozzola (MIT)

19/01/2024, 13:30

23. Shaping the Future of High-Energy Physics: The Role of Foundation Models in Higgs Boson Identification and Anomaly Detection

Prof. Philip Harris (MIT)

19/01/2024, 14:00

25. Heterogeneity research can be critical for bridging the gap between AI innovations and biomedicine

Dr Zhanshan Ma (Harvard)

19/01/2024, 14:15

19. The AI Patient Actor: Technology-Supported Clinical Skill Development in Medical Training

Prof. Thomas Thesen (Dartmouth)

19/01/2024, 15:00

32. LLMs in astrophysics graduate student research

Emma Chickles (MIT)

19/01/2024, 15:15

33. Integrating generative AI as a tool in large enrollment physics courses

Dr Mohamed Abdelhafez (MIT)

19/01/2024, 15:30

28. End of workshop panel+discussion

Prof. Christopher Stubbs (Harvard), Prof. Christopher Capozzola (MIT), Emma Chickles (MIT), Thomas Thesen (Dartmouth), Mohamed Abdelhafez (MIT), Zhanshan (Sam) Ma, Prof. Philip Harris (Massachusetts Institute of Technology)

19/01/2024, 15:45

29. Closing remarks

Kevin Burdge (MIT)

19/01/2024, 16:45

26. Archie demo from subMIT team

24. Enhancing Academic Research with Locally-Run LLMs: Retrieval-Augmented Generation using Sparse Mixture of Experts

Nikhil Mukund (MIT)

7. Redefining Learning in the AI Era: Opportunities and Challenges in STEM Education and Employment

Charles Fadel (Center for Curriclum Redesign)