At its third edition, this workshop aims to identify the leading natural language processing methods currently used in economics, and develop discussions around how they are and should be implemented.

Book your tickets

Book your place at this workshop

‘Text-as-data’ in economics workshop is free to attend, but you need to book your place to attend.

Workshop schedule (Day 1)

Thursday 16 July: 10.30am - 5pm

Start	End	Session details and speaker
10.30am	11am	Registration and welcome from Professor Ajit Mishra (Head of the Department of Economics)
11am	12.20pm	Session 1
11am	11.20am	Jiewei Li (University College London): How does NCAA NIL Policy Reform Reshape Creator Monetisation in Collegiate Sports
11.20am	11.40am	Manuel Blasco (University of Bologna): Headline Selection and Misleading Information
11.40am	12pm	Juan S. Morales (Wilfrid Laurier University): The Joe Rogan Podcast “by Night”: Public Health and the Dimming Reach of Influence
12pm	12.20pm	Elliot Motte (Universitat Pompeu Fabra): Media Bias in Conflict Coverage
12.20pm	1.20pm	Lunch
1.20pm	2.20pm	Session 2
1.20pm	1.40pm	Irina Merkurieva (University of St Andrews): Childhood Aspirations and Adult Outcomes
1.40pm	2pm	Daisuke Adachi (Aarhus University): From Course Descriptions to Training Portfolios: Measuring the Content of Continuing Vocational Training with Danish Administrative Text Data
2pm	2.20pm	Pietro Panizza (MeToD and Università della Calabria): Community Norms and Individual Positions in Focus Groups: Textas-Data Methods for Childcare and Parenting Research
2.20pm	2.40pm	Break
2.4pm	3.40pm	Session 3
2.40pm	3pm	Apurav Bhatiya (University of Birmingham): From Modi’s India to Westminster: How Hindu Nationalism Shapes Anti-Muslim Rhetoric Abroad
3pm	3.20pm	Riccardo Graziani (KU Leuven): Who Speaks for the People? Electoral Reforms, Parliamentary Speech, and Legislative Behavior in Belgium, 1880–1912
3.20pm	3.40pm	Jesus Rodriguez (University of Nottingham): Political Competition and Tax Expenditures: A Machine Learning Approach to 121 years of U.S. Laws
3.40pm	4pm	Break
4pm	5pm	Keynote - Milena Djourelova (University of Southern California): Political Slant in Immigration Coverage: Evolution, Diffusion, and Effects
7pm	Onwards	Dinner at Browns Brasserie & Bar (by invitation)

Sessions and times may change. Please check this page regularly for updates.

Workshop schedule (Day 2)

Friday 17 July: 9.30am - 2.10pm

Start	End	Session details and speaker
9.30am	10.30am	Session 4
9.30am	9.50am	Adam Brzezinski (LSE): Narrative Entanglement
9.50am	10.10am	Mary Sanford (University of Bath): Detecting Climate Change Position in Political Manifestos: A Comparative Study of AI Approaches
10.10am	10.30am	Elia Acciai (University of Turin & Collegio Carlo Alberto): Blood Antiquities: What Images Reveal about the Market for Cultural Heritage
10.30am	10.50am	Break
10.50am	11.50am	Session 5
10.50am	11.10am	Lei Ge (Renmin University of China): Are Economists Open to AI? Text as Data as Survey on Professional Sentiment and Academic Research Trends
11.10am	11.30am	Mirko Draca (University of Warwick): Exploration and Exploitation in US Technological Change
11.30am	11.50am	Raphaël Wargon (Paris School of Economics): The Life Cycle of Ideas
11.50am	12.10pm	Break
12.10pm	1.10pm	Keynote - Daniel Li Chen (Institute for Advanced Study at Toulouse (IAST), Toulouse School of Economics): Text as Data for Law and Economics: Measuring Institutions, Preferences, and AI Governance
1.10pm	2.10pm	Lunch

Sessions and times may change. Please check this page regularly for updates.

Keynote speakers

We will host two keynote speakers.

Dr Milena Djourelova

University of Southern California

Milena is an Assistant Professor of Economics at USC and a CESifo Research Affiliate. Her research is in applied microeconomics and political economy, with a focus on information, media, and electoral politics. Her work has been published in leading outlets, including the American Economic Review, American Journal of Political Science, and Review of Economic Studies.

Professor Daniel Chen

Institute For Advanced Study in Toulouse (IAST), Toulouse School of Economics

Daniel is a professor at the Toulouse School of Economics (TSE) and works at the intersection of law and economics, data science, machine learning, causal inference, and justice. His work has been published in leading outlets including the American Economic Review, Econometrica, Journal of Political Economy, Quarterly Journal of Economics, PNAS, Science Advances, and Nature Human Behaviour, and has been covered by the New York Times, Washington Post, Wall Street Journal, and NPR.