Kiva is proud to have worked with the academic and research community for over 10 years. Some of Kiva's research and education partners include: Stanford University, University of Michigan, UC Berkeley, University of Washington, University of San Francisco.
If your group is interested in a research collaboration with Kiva, Kiva's current research interests include:
- Creation of Synthetic Datasets
- Recommendation systems
- Social Good ML Applications
- Behaviorial Pschology
- Fairness Research
- Social Impact Assessments
Please find below selected publications featuring Kiva data that are available on the open web.
Thai T. Pham and Yuanyuan Shen. "A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform". Dissertation Graduate School of Business, Stanford University