Webinar Series



Starting from 6 October 2021

10:00 am – 11:00 am, Wednesday (Beijing-Singapore Time)
7:30 am – 8:30 am, Wednesday (India Time)
10:00 pm – 11:00 pm, Tuesday (US Time / Eastern Time)
9:00 pm – 10:00 pm, Tuesday (Central Time)

Artificial Intelligence (AI), Big Data, multilevel neural nets, the Internet of Things (IoT) and other digital technologies are transforming the world. They are strengthening innovation and productivity and innovation by rendering the future more predictable and reshaping individual, business, social, and government behavior. Asia leads the world in some of these endeavors, e.g., digital platforms. The OECD lists 40% of big new digital technologies as Asian. Almost half of global digital platform business-to-consumer revenues are Asian, versus only 22% from the U.S. and 12% from the Eurozone. Profound new policy challenges arising, in consequence, include: (i) shifting skills demanded in labor markets and “digital divide” inequality, (ii) AI expanding financial inclusion or encoding inequality, expanding or obscuring accountability, increasing transparency or obscuring amoral decision-making, and (iii) digital privacy, unsanctionable on-line libel, misinformation, manipulation, and propaganda. The ABFER, therefore, plans a monthly e-seminar series spotlighting important new research, particularly the Asia-pacific related, into these issues and providing “state-of-the-art” overviews by prominent scholars. We hope policy makers and practitioners will find the e-seminars helpful and will alert researchers to issues needing attention. 

Please register here and you will be sent the live webinar link two days before the event.

Upcoming Webinars


Professor of Economics (by courtesy), School of Humanities and Sciences Senior Fellow, Stanford Institute for Economic Policy Research; Founding Director, Golub Capital Social Impact Lab, Stanford; Associate Director, Stanford Institute for Human-Centered Artificial Intelligence
Stanford University

6 October 2021, 10:00 am (SGT)
Data-intensive Innovation and the State: Evidence from AI Firms in China
Martin Beraja (Massachusetts Institute of Technology), David Y Yang (Harvard University) and Noam Yuchtman (London School of Economics and Political Science)
Discussant: Matilde Bombardini (University of California, Berkeley)
3 November 2021, 10:00 am (SGT)

Merger Analysis in the App Economy An Empirical Model of Ad-Sponsored Media
Kohei Kawaguchi (The Hong Kong University of Science and Technology), Toshifumi Kuroda (Tokyo Keizai University) and Susumu Sato (Hitotsubashi University)
Discussant: Ying Fan (University of Michigan)
1 December 2021, 10:00 am (SGT)

Session Format

The inaugural session lasts for one hour (45 minutes for the presenter and 15 minutes for participants' Q&A). Sessions will be recorded and posted on ABFER's web, except in cases where speakers or discussants request us not to.


Please register here. A unique Zoom webinar link will be sent to you two days before the event. (Notice: Videos and screenshots will be taken during each session for the purpose of marketing, publicity purposes in print, electronic and social media)

Organising Committee

Yubo Chen (Tsinghua SEM), Pulak Ghosh (Indian Institute of Management Bangalore), Mitsuru Igami (Yale University), Michael Song (The Chinese University of Hong Kong), Daniel Xu (Duke University), Bernard Yeung (ABFER and National University of Singapore) and Yi Huang (Cheung Kong Graduate School of Business)

Collaborating Institutions

ABFER, CUHK-ZheDa Joint Research Center on Digital Economy, The Chinese University of Hong Kong (CUHK) Department of Economics and Center for Internet Development and Governance, Tsinghua University School of Economics and Management (Tsinghua SEM)