We are thrilled to share that Carmen Tekwe, Ph.D., an associate professor in the Indiana University School of Public Health-Bloomington (SPH-B) Department of Epidemiology and Biostatistics, has been chosen to serve as a member of the National Academies of Sciences, Engineering, and Medicine (NASEM) Committee on The Role of Advanced Computation, Predictive Technologies, and Big Data Analytics Related to Food and Nutrition Research: A Workshop.
This two-day public workshop, organized by the NASEM planning committee, will feature presentations and discussions to help guide researchers and policy makers on such topics as: Clear definitions of artificial intelligence and related activities such as machine learning (ML) and deep learning (DL); roles of AI as a tool for developing study designs; and specific examples of current applications of AI in food and nutrition research, such as nutrition quality and food safety.
Dr. Tekwe says this workshop will “expose the audience to some of the novel tools and their applications to nutrition and behavioral risk assessments.
“With the increase of more complex data for assessing the roles of behavioral risk factors on chronic health conditions, there's a rising need to develop novel approaches for improved assessments of these risk factors,” she adds. “As a statistician who does methodology work on measurement error correction approaches in nutrition and big data, it's a great honor to be part of this committee and to also consider how bias correction methods improve these assessments.”
This recent achievement is yet another demonstration of SPH-B faculty leading the way for the most innovative methods for big data analysis to benefit public safety as well as diversity and inclusion within the professional public health community. For more great examples of school and faculty excellence, visit go.iu.edu/48bx.