Big Data for Reproductive Health

Big Data for Reproductive Health

2018

Melanie Lai Wai (Statistics) and Saumya Sao (Global Health, Gender Studies) spent ten weeks developing a platform which enables users to understand factors that influence contraceptive use and discontinuation. Their work combined data from the Demographic and Health Surveys contraceptive calendar with open data about reproductive health and social indicators from the World Bank, World Health Organization, and World Population Prospects. This project will continue into the academic year via Bass Connections.

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Disciplines Involved: Global Health, PreHealth/PreMed, Gender, Sexuality and Feminist Studies, Public Policy

Project Lead/Manager: Amy Finnegan

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Global Health, Gender Sexuality and Feminist Studies

Statistics

Project Manager, Big Data for Repreoductive Health

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Saumya Sao and Melanie Lai Wai were proud to share the results of their 10-week Data+ project, Big Data for Reproductive Health.