Video: Increasing Retention in Nutrition Assistance

By Data-Smart City Solutions • January 17, 2018

During the Summit on Data-Smart Government, City of San Francisco Data Scientist Kimberly Hicks presented on the city's efforts to improve retention in the federal WIC program, which provides nutrition assistance to women, infants, and children. The program has proven effective in improving longterm outcomes in health and education, and yet the city has seen a decrease in retention rates for its residents.

Analyzing data on participants, the city determined that proficiency in English, prenatal activity, and breastfeeding are three of the largest determinants of retention. Through a partnership with Google, San Francisco's Office of Civic Innovation has designed user-centered interventions intended to keep more residents in the program.

You can access additional resources from the Summit here.

Speaker Bio: Kimberly Hicks is a Data Scientist with the City of San Francisco specializing in data mining, predictive analytics, machine learning, and data visualization. Kimberly comes to the city from the private sector, having worked for several years building innovative, statistical tools and ultimately improving efficiency through advanced analytics. Kimberly holds a Bachelor’s degree in Mathematics and a Master’s degree in Applied Statistics from the University of Michigan, Ann Arbor.