Four LBJ School faculty members are exploring entrepreneurship in Texas's rural areas and small cities around the world in a new initiative funded by the IC2 Institute at The University of Texas at Austin. Researchers in a variety of new IC2 projects will look at ways to promote economic development — including tracking regional entrepreneurship, promoting rural innovation networks and building economic resilience in areas where employment fluctuates with the cycles of the energy industry.
- Ph.D., Philanthropic Studies, Indiana University
- M.A., Social Policy, Beijing Normal University
- B.Med. (M.D. equivalent), Anhui Medical University
- Philanthropic and Nonprofit Studies
- Network Analysis
- Data Science and Computational Social Science
- Finance, Management and Leadership (including non-profits)
- Policy Process and Institutions
- Research and Empirical Methods
Ji Ma focuses on the nonprofit sector and data science. He studies why and how social relation matters in social and economic behaviors. His research interests include: impact of social relation on social, political, and economic behaviors; education and knowledge production in nonprofit and philanthropic studies; open data in policy studies; computational social science research methods.
Ji has a Ph.D. in Philanthropic Studies at Indiana University Lilly Family School of Philanthropy, with a Ph.D. minor in Data Science at IU School of Informatics and Computing. Before joining LBJ School, he worked at the Institute for Quantitative Social Science at Harvard as Research Fellow. Ji has received numerous national and international awards, including Ford Foundation China Fellowship, Emerging Scholar Award from the Association for Research on Nonprofit Organizations and Voluntary Action, and Penn Summer Doctoral Fellows from the University of Pennsylvania. He also has a diverse industrial experience: he was a social entrepreneur, a consultant of business management, and a journalist.
- Spring 2020 - 58670 - PA 397C - Advanced Empirical Methods for Policy Analysis
- Spring 2020 - 58530 - PA 388L - Advanced Topics in Management
- Fall 2019 - 59530 - PA 397C - Advanced Empirical Methods for Policy Analysis
- Fall 2019 - 59380 - PA 388L - Advanced Topics in Management
- Spring 2019 - 60372 - PA 397C - Advanced Empirical Methods for Policy Analysis
- Fall 2018 - 60905 - PA 388L - Advanced Topics in Management