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

Jan 18 – 19, 2024
Harvard (Thur)/MIT (Fri)
America/New_York timezone

Contribution List

33 out of 33 displayed
  1. 1. Introduction and Welcome
    Kevin Burdge (MIT), Dr Logan McCarty (Harvard University)
    1/18/24, 9:00 AM
  2. 4. Keynote: Generative AI in Education: Experiences and lessons learned
    Prof. Kavita Bala (Cornell)
    1/18/24, 9:10 AM
  3. 2. Undermind: Introducing Deep Scientific Search on ArXiv
    Joshua Ramette (MIT)
    1/18/24, 10:00 AM
  4. 3. Leveraging Generative AI for Efficient Literature Review and Synthesis
    Dr Ethan Kyzivat (Harvard)
    1/18/24, 10:15 AM
  5. 5. Toward Physics of Intelligence: Can Generative AI Imagine?
    Dr Hidenori Tanaka (Harvard)
    1/18/24, 11:00 AM
  6. 30. Enhancing Academic Research with Locally-Run LLMs: Retrieval-Augmented Generation using Sparse Mixture of Experts
    Dr Nikhil Mukund (MIT)
    1/18/24, 11:15 AM
  7. 6. Panel Discussion
    Prof. Kavita Bala (Cornell), Joshua Rammette (MIT), Dr Ethan Kyzivat (Harvard), Dr Hidenori Tanaka (Harvard), Dr Nikhil Mukund (MIT)
    1/18/24, 11:30 AM
  8. 31. What should today's undergraduates know about Generative AI?
    Dr Logan McCarty (Harvard University)
    1/18/24, 1:30 PM
  9. 8. Afternoon keynote: Automated Question Modification to Challenge AI Models
    Prof. Soroush Vosoughi (Dartmouth)
    1/18/24, 1:45 PM
  10. 9. AI and the Future of STEM Education
    Jack Maier (MIT)
    1/18/24, 2:15 PM
  11. 10. Comparing AI-Supported Instruction vs. Active Learning in Introductory Physics
    Dr Greg Kestin (Harvard), Dr Kelly Miller (Harvard)
    1/18/24, 3:00 PM
  12. 11. AI & Mathematics: Exploring AI as a Culturally Relevant Intervention for Attaining Numeracy in Low-Income, K-12 Pedagogical Contexts
    Damion Mannings (Harvard)
    1/18/24, 3:30 PM
  13. 12. AI-Enhanced Pedagogy in CS50: From Personalized Tutoring to Holistic Support
    Rongxin Liu
    1/18/24, 3:45 PM
  14. 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)
    1/18/24, 4:00 PM
  15. 14. Introduction and welcome for day 2
    Kevin Burdge (MIT)
    1/19/24, 9:00 AM
  16. 15. Keynote: Generative AI: What's it good for, and what's it good at?
    Prof. Christopher Stubbs (Harvard)
    1/19/24, 9:05 AM
  17. 16. A2rchi: An open-source, end-to-end AI framework for research and education
    Julius Heitkoetter (MIT)
    1/19/24, 9:45 AM
  18. 17. GenPhys and Beyond: Unveiling the Synergy of Physics and Diffusion Models in Generative Processes.
    Ziming Liu (MIT)
    1/19/24, 10:00 AM
  19. 18. Supernova Science in the AI Era: Pioneering Real-Time Analysis with Large Language Models
    Dr Alexander Gagliano (MIT)
    1/19/24, 10:15 AM
  20. 27. Revolutionizing Personalized Learning: Introducing Squirrel Ai's Large Adaptive Model (LAM)
    Joleen Liang (Squirrel Ai Learning & Technology)
    1/19/24, 11:00 AM
  21. 20. Facial Recognition, Black Women, and Cops: An Urgent Need for an Ethical Framework to Prevent Algorithmic Bias
    Damion Mannings (Harvard)
    1/19/24, 11:15 AM
  22. 21. Morning panel+discussion
    Prof. Christopher Stubbs (Harvard), Dr Alexander Gagliano (MIT), Damion Mannings (Harvard), Julius Heitkoetter (MIT), Kevin Burdge (MIT), Ziming Liu (MIT)
    1/19/24, 11:30 AM
  23. 22. Afternoon keynote
    Prof. Christopher Capozzola (MIT)
    1/19/24, 1:30 PM
  24. 23. Shaping the Future of High-Energy Physics: The Role of Foundation Models in Higgs Boson Identification and Anomaly Detection
    Prof. Philip Harris (MIT)
    1/19/24, 2:00 PM
  25. 25. Heterogeneity research can be critical for bridging the gap between AI innovations and biomedicine
    Dr Zhanshan Ma (Harvard)
    1/19/24, 2:15 PM
  26. 19. The AI Patient Actor: Technology-Supported Clinical Skill Development in Medical Training
    Prof. Thomas Thesen (Dartmouth)
    1/19/24, 3:00 PM
  27. 32. LLMs in astrophysics graduate student research
    Emma Chickles (MIT)
    1/19/24, 3:15 PM
  28. 33. Integrating generative AI as a tool in large enrollment physics courses
    Dr Mohamed Abdelhafez (MIT)
    1/19/24, 3:30 PM
  29. 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)
    1/19/24, 3:45 PM
  30. 29. Closing remarks
    Kevin Burdge (MIT)
    1/19/24, 4:45 PM
  31. 26. Archie demo from subMIT team
  32. 24. Enhancing Academic Research with Locally-Run LLMs: Retrieval-Augmented Generation using Sparse Mixture of Experts
    Nikhil Mukund (MIT)
  33. 7. Redefining Learning in the AI Era: Opportunities and Challenges in STEM Education and Employment
    Charles Fadel (Center for Curriclum Redesign)