Big Data and Innovative Trial Design for Global Nutrition Research

6/8/2019

1:30 PM - 3:30 PM

Location: Ballroom IV

Chair(s)

Emily Smith, ScD, MPH

Program Officer
Bill & Melinda Gates Foundation

Co-Chair(s)

PC

Parul Christian, PhD

Bill & Melinda Gates Foundation

Speaker(s)

Emily Smith, ScD, MPH

Program Officer
Bill & Melinda Gates Foundation
Josef Schmidhuber, PhD

Deputy Director, Trade and Markets Division, FAO
Researcher
Kirkby Tickell, MBBS, MPH

Fellow
University of Washington
Purvesh Khatri, PhD

Associate Professor
Stanford University
MR

Michael Rosenblum, PhD

Johns Hopkins Bloomberg School of Public Health
LL

Laura Lamberti, PhD, MHS

Bill & Melinda Gates Foundation
DR

Daniel Roth, MD, PhD

clinician-scientist
Hospital for Sick Children, Canada & University of Toronto, Canada
AL

Alain Labrique, PhD

Johns Hopkins Bloomberg School of Public Health

Big data and analytics, along with innovative trial designs, provide the opportunity to change how we conduct global health and nutrition research. Despite the proliferation of these approaches in different disciplines over the past decade, there are relatively few examples in the global health or nutrition fields. This session will feature new methodologies and research based on big data and advanced predictive analytics. Speakers will share their work to: develop a global nutrient database reflecting three decades worth of worldwide data, identify infants at increased risk of mortality following hospitalization for severe acute malnutrition, incorporate omics data to gain novel insight in maternal and newborn health, and identify who benefits most from population-based nutrition interventions. We will also review innovative, adaptive clinical trial designs which rely on big data for trial design simulations and continuous sample size re-estimation. Experts will debate whether these adaptive clinical trial designs are sufficiently rigorous, maximally efficient, and feasible for Global Health research.

Learning Objectives:

Define big data and the tools and technologies used to harness the potential of big data
Examine big data analytic applications in global nutrition
Describe and discuss innovative clinical trial designs for nutrition research

Presentations:

1:30 PM - 1:40 PM
Big Data & Innovative Trial Design: Applications and Opportunities for Global Nutrition?
Emily R. Smith, ScD, MPH – Bill & Melinda Gates Foundation
1:40 PM - 1:55 PM
Session 1: Predictive Analytics and Precision Public Health. Presentation A: Measurement & Methods: Food systems, Agriculture, and Health Example from the Global Burden of Disease Study
Josef Schmidhuber, PhD – Researcher
1:55 PM - 2:10 PM
Session 1: Predictive Analytics and Precision Public Health. Presentation B: Machine learning methods for novel insights into mortality risk following hospitalization for Moderate and Severe Acute Malnutrition
Kirkby D. Tickell, MBBS, MPH – University of Washington
2:10 PM - 2:25 PM
Session 1: Predictive Analytics and Precision Public Health. Presentation C: Omics & Leveraging “Dirty Data”
Purvesh Khatri, PhD – Stanford University
2:25 PM - 2:40 PM
Session II: Adaptive clinical trials for global health research Presentation A: Methods for Adaptive Clinical Trials
Michael Rosenblum, PhD – Johns Hopkins Bloomberg School of Public Health
2:40 PM - 2:55 PM
Session II: Adaptive clinical trials for global health research Presentation B: Big data & novel study designs for optimal clinical trial efficiency
Laura Lamberti, PhD, MHS – Bill & Melinda Gates Foundation
2:55 PM - 3:30 PM
Discussion and Q&A: Are adaptive clinical trials rigorous, efficient, and feasible for Global Health research?
Parul Christian, PhD – Bill & Melinda Gates Foundation; Daniel E. Roth, MD, PhD – Hospital for Sick Children, Canada & University of Toronto, Canada; Alain Labrique, PhD – Johns Hopkins Bloomberg School of Public Health