APPAM Annual Conference Utilizing Smart Government and Big Data to Address Large-Scale Crises: Examining the Informational, Technological, and Social Dimensions What Matters in the Fight against COVID-19: Data, State or Civil Society? A Comparative Analysis of Hong Kong and Singapore Wilson Wong Associate Professor* Data Science and Policy Studies (DSPS) Programme Faculty of Social Science The Chinese University of Hong Kong Hong Kong Email:
[email protected] Tel: 852-3943-7489 Fax: 852-2603-5229 Nov 12-14, 2020 1 What Matters in the Fight against COVID-19: Data, State or Civil Society? A Comparative Analysis of Hong Kong and Singapore Abstract This article examines the interactive role of data, state, and civil society in the fight against COVID-19 through a comparative policy study of Hong Kong and Singapore with an integrated framework of policy capacity and Political Nexus Triads (PNT). Hong Kong and Singapore provide a natural experiment of two contrasting cases of state-society configurations. It is argued in the paper that the role of state, civil society, and their interaction has significantly shape the way data is used and interpreted in the fight against COVID-19. Hong Kong combats COVID-19 mainly with a resilient civil society with little trust of government data while Singapore relies more on a strong government and state-led data strategies. They together support the existence of multiple configurational causality in effectively responding to COVID- 19 and question the existence of a single one-best model. Keywords: COVID-19, Comparative Policy Analysis, Policy Capacity, Political Nexus Triads, Multiple Configurational Causality, Hong Kong, Singapore 2 1.