Oxford EdTech & AI in Learning: Large Language Models in Business, Politics, and Humanities LONDON, UK MAY 21, 2026

EdTech & AI in Learning: Large Language Models in Business, Politics, and Humanities

Submission Deadline MAY 14, 2026
Notification of Acceptance 7-20 workdays
Submission Email [email protected]
Registration Fees USD 450 (6 pages included)
Additional Page USD 40/extra page
Download Manuscript Template

Chair

Dr. Canh Thien Dang

Assistant Professor in Economics

Personal Bio

Dr. Canh Thien Dang is an Assistant Professor in Economics at the Department of Economics, King’s Business School, King’s College London. From September 2025, he has served as the Programme Director for the BSc Economics and Management at King’s Business School. He is also an academic supervisor at the Institute of Finance and Technology, University College London, and a chief examiner for the University of London International Programme (Econometrics). Before joining King’s, he lectured and conducted research as an LSE Fellow in Economics at the London School of Economics and as a postdoctoral fellow in Economics at the University of Warwick. He completed his PhD in Economics at the University of Nottingham in 2018. His work employs both theoretical and empirical methods to address questions at the intersection of economics and public policy. His research interests include Development Economics, Public Economics, and Applied Econometrics. His current research focuses on the economics of nonprofit organisations, financial data, public good provision—such as housing, security, preferential tax treatment, and public procurement—as well as innovation.

Committee Members

Dr. An Nguyen King’s College London [email protected]