Equitable Motherhood

This project is ongoing.

Inadequate access to maternity care is one major driver of the maternal health crisis facing the United States. How to accurately identify underserved areas? Can we use Artificial Intelligence (AI) to optimize healthcare resources to increase mothers' accessibility to maternity care? This project calculates acceessibility index using GIS to measure mothers' access to maternity care facilities. Then, a cutting-edge deep reinforcement learning model will be built to optimize maternal healthcare resources to enhance equitable access to healthcare facilities. The outcome will benefit domains such as health, policy, and sociology. 

 

Qualifications

Programming skills are preferred.

Sign in to Bookmark
Project Lead
Who to Contact
Yuhao Kang
Contact Email
yuhao.kang@austin.utexas.edu

I'M INTERESTED IN THIS PROJECT. WHAT SHOULD I DO NEXT?

The Office of Undergraduate Research recommends that you attend an info session or advising before contacting faculty members or project contacts about research opportunities. We'll cover the steps to get involved, tips for contacting faculty, funding possibilities, and options for course credit. Once you have attended an Office of Undergraduate Research info session or spoken to an advisor, you can use the "Who to contact" details for this project to get in touch with the project leader and express your interest in getting involved.

Have you tried contacting professors and need more help? Schedule an appointment for additional support.