Hao Peng is an Assistant Professor in the Department of Data Science at City University of Hong Kong. He is interested in computational social science, social networks, and science of innovation. He studies human and social factors involved in the production and dissemination of creative ideas. His research aims to generate deep insights that can help organizations leverage the full potential of human capital to drive leadership and success in the innovation market. Dr. Peng's work has been published in journals such as PNAS, Science Advances, and was reported by international media outlets including The Washington Post, Le Monde, NPR, and New Scientist. His scholarship has won top awards and prizes from 2019 SciPy Conference and 2021 Annual Meeting of the Association for Information Science and Technology. Previously, Dr. Peng was a Postdoc in the Kellogg School of Management at Northwestern University, with affiliation to the Northwestern Institute on Complex Systems. He obtained a Ph.D in Information Science from UMich.
Awards and Achievements
- 2024 “Emerging Researcher Award” The Complex Systems Society.
- 2024 “Best Paper Honorable Mention” International School and Conference on Network Science.
- 2021 “Best Paper Award” Association for Information Science and Technology.
- 2019 “Second Prize” John Hunter Plotting Contest, SciPy Conference.
Journal
- Peng, Hao. , Qiu, Huilian. , Fosse, Henrik. & Uzzi, Brian. (2024). Promotional language and the adoption of innovative ideas in science. PNAS. doi:10.1073/pnas.2320066121
- Peng, Hao. , Teplitskiy, Misha. & Jurgens, David. (2023). Author mentions in science news reveal widespread disparities across name-inferred ethnicities. Quantitative Science Studies. doi:10.1162/qss_a_00297
- Peng, Hao. , Romero, Daniel. & Horvát, Emőke. (2022). Dynamics of Cross-Platform Attention to Retracted Papers. PNAS. doi:10.1073/pnas.2119086119
- Teplitskiy, Misha. , Peng, Hao. , Blasco, Andrea. & Lakhani, Karim. (2022). Is Novel Research Worth Doing? Evidence From Peer Review at 49 Journals. PNAS. doi:10.1073/pnas.2118046119
- Peng, Hao. , Ke, Qing. , Budak, Ceren. , Romero, Daniel. & Ahn, Yong-Yeol. (2021). Neural Embeddings of Scholarly Periodicals Reveal Complex Disciplinary Organizations. Science Advances. doi:10.1126/sciadv.abb9004
Last update date :
06 Sep 2024
