Skip to main content
Close menu William & Mary

Machine Learning to Explore Linkages Between Maternal Health and Environmental Resources in Kenya

Research Location: Southern Kenya
Conservation Partners: Conservation Health Partners, Kenya

Faculty Mentor

Dr. Haipeng Chen, Dr. Carrie Dolan, Dr. Julius Odihambo, and Erica Garroutte

Project Description

William & Mary students will join an multidisciplinary team researching how climate and ecological changes impact human health in Maasai communities in Kenya. Using data-driven decision intelligence tools, students will help develop strategies to improve healthcare access while supporting environmental conservation and community resilience.

William & Mary undergraduate students are invited to join an interdisciplinary research team focused on the intersection of environmental change and human health in Narok County, Kenya. As climate change accelerates shifts in weather patterns, ecosystem functions, and natural resource availability, communities that directly depend on the environment—such as the nomadic Maasai—face growing challenges in accessing healthcare, nutrition, and vaccination services. This project seeks to understand how climate, ecological changes, and biophysical factors are linked to human health outcomes in these vulnerable populations.

Students will work alongside faculty and global partners in Kenya, including Community Health Partners (CHPs), to collect and analyze cross-sectoral data (e.g., health metrics, climate data, land use, and resource availability). Using data-driven decision intelligence tools, the team will explore patterns and predictions that can inform how limited healthcare resources—like vaccines and nutrition programs—can be allocated more equitably and effectively. This research will also help identify strategies that balance community health needs with broader environmental conservation goals.

Through this experience, students will gain hands-on training in data analysis, interdisciplinary research methods, and community-based public health approaches, while contributing to real-world solutions that promote resilience and well-being in the face of climate and health crises. The project also aims to strengthen partnerships across William & Mary departments (Data Science, Public Health, Kinesiology, and the Institute for Integrative Conservation) and with long-standing collaborators in Kenya and South Africa. This project and student involvement in the collaborative work is supported by the Applied Research and Innovation Initiative.

Prerequisites and Required Skills

Background in GIS, data science and conservation preferred.

Travel Required

Potential travel to Kenya for 1 month. This involves staying in rural Kenyan field stations, hiking on variable terrain to collect environmental data, and interacting with local communities and community health workers in Kenya. 

Notes for Applicants

This is a great project for students who are looking to explore how data can be used to inform conservation and health outcomes. 

Project ID - Format

26-005-26 - CRP Year