The Global Alliance for Improved Nutrition (GAIN)
Knowledge Leadership
Ty Beal, PhD, is a global nutrition and food system scientist dedicated to achieving healthy and sustainable diets for all. Through his research, he examines dietary patterns and their impacts on human health and the environment. His findings have been published in top scientific journals including The Lancet, The Lancet Global Health, and others. An engaging speaker, Dr. Beal frequently presents his expertise on nutrition and food systems at professional conferences and webinars. He also shares insights with the public, appearing on podcasts and publishing blogs and op-eds that make scientific research accessible. As a Research Advisor at the Global Alliance for Improved Nutrition (GAIN), he helps shape evidence-based programs and policies. Dr. Beal received his PhD from the University of California, Davis.

Moderator of 1 Session

Session Type
Concurrent Session
Date
10/19/2023
Session Time
01:45 PM - 03:15 PM
Room
Amazon Hall
Session Description
This session will bring together diverse experts on nutrient profiling systems (NPS) to discuss how to ensure NPS are fit for purpose. There are numerous available NPS that each have unique strengths and weaknesses. Identifying the appropriate contexts to use different types of NPS is essential to ensure effective policy and programmatic guidance and prevent unintended consequences. Experts will cover how to decide which nutrients to include in a NPS that is fit for purpose, including nutrients to encourage and limit; how to select appropriate food composition data; designing NPS for environmental impact assessments; and how to prevent inappropriate uses of NPS.
Session Track
Track 3: Program Implementation and Effectiveness

Presenter of 2 Presentations

Reducing Consumption of Ultraprocessed Foods: Leveraging New Primary Data From Around the World on Current Diets

Session Type
Concurrent Session
Date
10/17/2023
Session Time
01:45 PM - 03:15 PM
Room
Yangtze Hall
Lecture Time
02:38 PM - 02:50 PM

Framing Talk & Evidence

Session Type
Concurrent Session
Date
10/19/2023
Session Time
01:45 PM - 03:15 PM
Room
Amazon Hall
Lecture Time
01:45 PM - 01:48 PM