The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics in Food and Nutrition Research: Proceedings of a Workshop (2024)
Chapter: Appendix A: Workshop Agenda
A
Workshop Agenda
THE ROLE OF ADVANCED COMPUTATION, PREDICTIVE TECHNOLOGIES, AND BIG DATA ANALYTICS RELATED TO FOOD AND NUTRITION RESEARCH: A WORKSHOP
AGENDA
October 10–11, 2023
National Academy of Sciences Building
2101 Constitution Avenue NW
Washington, DC 20418
Virtual Webcast
Workshop Goals:
- Explore opportunities and challenges related to the application of advanced computation, big data analytics, and high-performance computing to support advances in food systems and nutrition research.
- Discuss the appropriate use of evidence generated through advanced computation, big data analytics, and high-performance computing to inform food- and nutrition-related programs and policies.
- Consider ethical considerations associated with advanced computation, big data analytics, and high-performance computing and strategies to mitigate ethical concerns and avoid bias.
- Identify opportunities and challenges related to capacity building and training to support robust and ethical application of advanced computation, big data analytics, and high-performance computing in food and nutrition research.
DAY 1: TUESDAY, OCTOBER 10, 2023
Location: LECTURE ROOM
| 9:00 AM |
Welcome
Rodolphe Barrangou, North Carolina State University; Planning Committee Cochair |
| 9:05 AM |
Introductory Remarks
Patrick Stover, Institute for Advancing Health through Agriculture at Texas A&M University Cindy Davis, U.S. Department of Agriculture, Agricultural Research Service Jennifer Tiller, Deputy Staff Director, U.S. House Committee on Agriculture Sharon Kirkpatrick, University of Waterloo; Planning Committee Cochair |
| 9:45 AM |
SESSION I: Setting the Stage
Moderator: Rodolphe Barrangou |
|
Speakers:
The Current State of Advanced Computation, Big Data Analytics, and High-Performance Computing Anant Madabhushi, Emory University and Georgia Tech |
|
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Ethics, Privacy, Bias, and Trust in the Application of AI Judy Gichoya, Emory University |
|
| 10:45 AM | BREAK |
| 11:00 AM | SESSION I: Setting the Stage, CONTINUED |
|
AI in Nutrition and Food Sciences: Promises and Challenges Benoît Lamarche, Université Laval |
|
| Moderated Discussion |
| 12:00 PM | LUNCH BREAK |
| 12:50 PM |
SESSION 2: Applications and Lessons Learned, Part 1
Moderator: Sharon Kirkpatrick |
|
Speakers:
Applications and Lessons Learned: Wearables Edward Sazonov, University of Alabama |
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Applications and Lessons Learned: Microbiome Rob Knight, University of California, San Diego (virtual) |
|
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Applications and Lessons Learned: Metabolomics Susan McRitchie, University of North Carolina at Chapel Hill |
|
| 2:25 PM | BREAK |
| 2:40 PM |
SESSION 2: Applications and Lessons Learned, Part 1 CONTINUED Discussant: Holly Nicastro, NIH Office of Nutrition Research |
| Moderated Discussion | |
| 3:20 PM |
SESSION 3: Capacity Building
Moderator: Carmen Tekwe, Indiana University in Bloomington; Planning Committee Member |
|
Speakers:
NIH Supported Training Program in Artificial Intelligence and Precision Nutrition at Cornell: Plans and the Road Ahead Saurabh Mehta, Cornell University (virtual) |
|
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Inclusive Teams for Food and Nutrition Research Angela Odoms-Young, Cornell University |
|
| Moderated Discussion | |
| 5:00 PM | ADJOURN DAY 1 |
DAY 2: WEDNESDAY, OCTOBER 11, 2023
Location: ROOM 125
| 9:00 AM |
Key Themes from Day 1 and Issues That Warrant Further Discussion
Diana Thomas, U.S. Military Academy at West Point; Planning Committee Member |
| 9:20 AM |
SESSION 4: Applications and Lessons Learned, Part 2
Moderator: Rodolphe Barrangou |
|
Speakers:
Applications of AI in Food and Nutrition Research Benoît Lamarche, Université Laval |
|
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Designing Nutrition Studies for AI Data Analysis Sai Das, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University |
|
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Farmers Trust in AI
Aaron Smith, University of California, Davis |
|
| 10:50 AM | BREAK |
| 11:05 AM | SESSION 4: Applications and Lessons Learned, Part 2 CONTINUED |
|
Application of AI: Supply Chains
Christopher Mejía, MIT Center for Transportation and Logistics (virtual) |
|
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Discussant: Elenna Dugundji, MIT Center for Transportation and Logistics
Discussant: Becca Jablonski, Colorado State University; Planning Committee Member |
|
| Moderated Discussion | |
| 12:25 PM | LUNCH BREAK |
| 1:10 PM |
SESSION 5: Potential Applications of AI to Large-Scale Food and Nutrition Initiatives
Moderator: Diana Thomas |
|
Speakers: Bridge to AI, Nutrition for Precision Health
Chris Hartshorn, NIH National Center for Advancing Translational Sciences (virtual) |
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Considerations for Ethics and Diverse Populations
Janie Hipp, Native Agriculture Financial Services (virtual) |
|
| Moderated Discussion | |
| 2:15 PM |
SESSION 6: Final Discussion and Synthesis
Moderator: Sharon Kirkpatrick |
|
Panel Discussion
Rodolphe Barrangou (Planning Committee Member) Sai Das, Christopher Mejía (virtual), Angela Odoms-Young (Workshop Speakers) |
|
| 3:00 PM | WORKSHOP ADJOURNS |
This event was planned by the following experts: Rodolphe Barrangou, North Carolina State University (Planning Committee Cochair); Sharon Kirkpatrick, University of Waterloo (Planning Committee Cochair); Becca Jablonski, Colorado State University; Anant Madabhushi, Emory University; Carmen Tekwe, Indiana University; and Diana Thomas, United States Military Academy at West Point.
The planning committee’s role is limited to organizing the event. A proceeding based on the event will be prepared by an independent rapporteur.
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