Yiwen Gao is a Ph.D. candidate in Business Administration with a concentration in Management Information Systems (MIS), at Fox School of Business, Temple University. Before joining the Ph.D. program in 2018, Yiwen received her B.A. and M.B.A in Management Information Systems from Southwestern University of Finance and Economics in China. Her current research interests mainly focus on the digital upper echelon, IT security, and crowd-based platforms. She is open to apply econometrics, machine learning, lab/field experiment in the research. Her main programming language is Python and is pretty familiar with how to apply Python to crawl data and process data.
Recent Presentation:
Gao, Y., S. Kumar, E. Demirezen (2020). “Piracy or Privacy in Video Streaming? A Game-Theoretic Model” in Annual Conference of the Decision Sciences Institute, Nov 21-23, 2020, Online
Gao, Y., S. Ayabakan, S. Wattal. (2020). “Antecedents and Consequences of Participant Mix on Crowdsourcing Platforms: The Case of CrowdMed” in Conference on Health IT and Analytics (CHITA), Oct 8-10, 2020, Online.
Gao, Y., S. Ayabakan, S. Wattal. (2020) “Crowd, Expert or Both? Leveraging Heterogeneity of Healthcare Crowdsourcing Participants” in INFORMS Annual Meeting, Nov 7-13, 2020, Online.
Gao, Y., S. Ayabakan, S. Wattal. (2019). “Engaging the crowd: Shall we tell stories or provide structured content?” in Conference on Health IT and Analytics (CHITA), Nov 15-16, 2019, Washington D.C.
Please find my CV here.
My dissertation co-advisors are Sunil Wattal and Jason Thatcher.