20.03.2023 – University of Florida, Gainesville, FL

FUTURE OF FOOD FORUM

The Future of Food Forum promises to be an exciting one-day gathering, on March 20, 2023, presented by the Global Food Systems Institute at the University of Florida. This Forum will bring together great thinkers—academics, students, business leaders, farmers, growers, and policymakers—researching and implementing innovative ways to integrate artificial intelligence (AI) to transform food systems.

Join us as we explore the power of AI to transform the agricultural and food industries locally to globally. You will gain current ideas and perspectives from some of today’s thought leaders on how AI can be implemented into improving food systems.

THE PROGRAM

Our speakers and panelists will discuss how alternative intelligence can be applied to agriculture to solve some of the most pressing issues of our time, with panels answering questions such as:

  • How can AI assist us in creating crisis-proof food systems?
  • How can AI assist us in creating climate-friendly food systems?
  • How can AI assist us in preserving biological diversity?
  • How can AI assist us to improve collaboration for sustainable global food systems?

REGISTRATION INFORMATION

Registration for this event is limited with registrations accepted on a first-come, first-serve basis. Registration payment must be received to secure a space.

WHAT DOES THE FEE INCLUDE?

The registration fee includes access to all program sessions, light morning refreshments, lunch, and the afternoon break.

Regular Registration $60 Student Registration $10

REFUND POLICY

The registration fee is non-refundable. However, you may make substitutions until March 13, 2023 by contacting Kimberly Brand.

SPECIAL NEEDS

Participants with special needs can be reasonably accommodated by contacting Jennifer Johnson at least 30 days prior to the conference. She can be reached by email at johnsonjennifer1@ufl.edu, by phone at (352) 294-1014 or by calling 711 TTY/TDD.

 

 

Register Now »

 


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EPPN2020 has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 731013