Dr. Pui-hang Wong
4. Governance and institutions
5. Innovation and Entrepreneurship for Sustainability Transitions
6. Migration and Development
2. Structural Change and Economic Development
Pui Hang Wong is University Lecturer at UNU-MERIT, United Nations University and Maastricht University. He is also the coordinator of the Foreign Policy and Development specialization (in cooperation with the Faculty of Law) of the MPP programme at Maastricht University.
His research centers on various development issues, including conflict, urban well-bing, regional economics, migration and sustainable development, using various data analytics techniques. His research has appeared in Journal of Peace Research, Health & Place, Eurasian Geography and Economics, International Migration, among others.
He has taught economics, research design, quantitative methods and sustainability at the Maastricht Graduate School of Governance, School of Business and Economics and University College Maastricht (UCM). He has supervised theses on topics related to development, violent conflict, peacekeeping, and social policy at the bachelor's, master's and doctoral levels.
He read economics and political science at Monash (Australia), Essex (UK), the Chinese University of Hong Kong and Maastricht (Netherlands) and interned at the United Nations High Commissioner for Refugees (UNHCR). He has held visiting positions at the Peace Research Institute Oslo (PRIO) and the Center for Economic Catch-Up at Seoul. He is a fellow of the African Studies Centre Leiden Community and a member of the Research School on Peace and Conflict.
Celbis, Mehmet Guney, Pui-hang Wong, Karima Kourtit & Peter Nijkamp (2022). Impacts of the COVID-19 Outbreak on Older-Age Cohorts in European Labor Markets: A Machine Learning Exploration of Vulnerable Groups. Regional Science, Policy & Practice. Forthcoming.
Wong, Pui-Hang. (2021). Moral Injury in Former Child Soldiers in Liberia. Journal of Child & Adolescent Trauma. Forthcoming.
Wong, Pui-Hang, Karima Kourtit and Peter Nijkamp. (2021). The Ideal Neighbourhoods of Successful Ageing: A Machine Learning Approach. Health & Place 72, 102704.