People

Dr. Naikang Feng is a postdoctoral researcher at the Centre for Civil Society and Governance (CCSG) at the University of Hong Kong, where she earned her PhD in Politics and Public Administration. Before joining CCSG, she worked as postdoctoral fellow, at Technology, Policy and Law Lab of Center for Public Affairs and Law (CPAL), City University of Hong Kong. Her research explores how AI and emerging technologies reshape government decision-making, boost public service delivery, and evolve interactions within governance networks. She also examines AI policies and regulatory frameworks to foster responsible adoption, while using computational social science methods to measure and analyze policy design and implementation. Her work has appeared or is forthcoming in top journals like Public Management Review, Public Administration, Policy Studies Journal, and Public Money & Management.

Yanto Chandra and Naikang Feng* (2025). “Algorithms for a New Season? Mapping a Decade of Research on the Artificial Intelligence-Driven Digital Transformation of Public Administration.” Published in Public Management Review. https://doi.org/10.1080/14719037.2025.2450680

Naikang Feng and Yanto Chandra (2025). “Accountability in Government Use of AI: Citizen Concerns and Preferences.” Published in Public Administration. https://doi.org/10.1111/padm.70030

Naikang Feng and Yanto Chandra (2025). “The Epistemic Impact of Generative Artificial Intelligence on Policymaking.” Accepted by Policy Studies Journal.

Naikang Feng and Wai-Fung Lam (2025). “Synthetic Empathy: How AI Is Redefining Emotional Labor in Public Encounters.” Published in Public Money and Management. Forthcoming soon at http://dx.doi.org/10.1080/09540962.2025.2596751

Naikang Feng (2021). “The Effect of Sibling Size on Children’s Educational Attainment: Evidence from Indonesia.” Published in ECNU Review of Education, 4(4), 830–856. https://doi.org/10.1177/209653112092170