Data+ Team Introduces Novel Visualization Methods to Understand Contraceptive Trends
Saumya Sao (T ’20, Gender, Feminist and Sexuality; Global Health) and Melanie Lai Wei (Masters’ Candidate, Statistical Science) were proud to share the results of their 10-week Data+ project, Big Data for Reproductive Health, or BD4RH. The pair was just one of 25 teams that spent the summer using data-driven approaches to solve interdisciplinary challenges. The BD4RH team, led by Amy Finnegan and Megan Huchko, sought to build a web-based application that will allow users to visualize and analyze contraceptive calendar data from the DHS. To ground their project, they did a mapping exercise to identify currently available tools, identifying core elements they liked and key areas a new tool could improve. Using this data, and user feedback from various stakeholders in the field, they created a website that hosts four different data visualization methods to interpret trends in contraceptive use from the DHS contraceptive calendar. The site currently uses Kenya data to demonstrate efficacy, but datasets will be added...