This session will provide an overview of the state of the science in the evaluation of the effects of natural experiments relevant to obesity prevention and control. The speakers will highlight innovations in key scientific areas covered in large NIH sponsored workshop on the topic and in workshop related papers and reports. Topics addressed in the session will included use of experimental and non-experimental methods, such as quasi-experiment designs; measures of exposure and co-benefits that are associated with obesity prevention and control; use of population-based data sources, such as spatial, crowd-sourcing and other open data sources; novel analytic strategies for estimating effects and approaches to enhancing capacity for translation. Speakers will address advances in methods and measures as well as opportunities for further innovation and enhanced rigor. . The session will include a panel focused on potential ways federal agencies can help close the research gaps, address data resource needs, and facilitate the use of this research to inform the development of programs and policies.

1:05pm Findings From the NIH Pathways to Prevention Workshop: Methods for Evaluating Natural Experiments in Obesity
Rachel M Ballard, MD MPH
1:15pm Co-benefits in Natural Experiment Research
Terry T Huang, PhD MPH MBA FTOS
1:30pm Evaluating Exposure to Environment, Policy, and Extent of Implementation
Marlene B Schwartz, PhD
1:45pm Novel Designs and Analytic Approaches for Estimating Effects of Natural Experiment
Sanjay Basu, PhD
2:00pm Improving Translation of Research to Policy and Practice: Consideration of Effectiveness, Reach, Cost, and Cost-Effectiveness
Steven Gortmaker, PhD
2:15pm Panel on Federal Agency Plans to Address Research Gaps and Use of Research to Inform Programs and Policy
Heidi Blanck, PhD; Rachel M Ballard, MD MPH; Robin McKinnon, PhD