F-World: The Fragility Podcast podcast

#17 - Hannes Mueller: Conflict Forecasting, Fragility, and AI

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Hannes Mueller is a tenured researcher at the Institute for Economic Analysis, a researcher center of the Spanish National Research Council. He also directs the master’s program in Data Science for Decision Making at the Barcelona School of Economics. Most recently, his research focus has been on how conflict can be predicted using millions of newspaper articles – a project which drives the conflictforecast.org website. This research project has become a key resource for global work on conflict prevention and has led to collaborations with the Spanish Central Bank, the German Federal Foreign Office, the UK Foreign, Commonwealth & Development Office, the UN, World Bank, and many others.

This conversation was a tour de force and covered a lot of topics: from taxes and trust, to fiscal capacity as a dimension of state capacity, to fragility and the macroeconomic implications of violent conflict, to forecasting conflict using machine learning and implications for policy makers.

Hannes gives us a live demonstration of conflictforecast.org and if you’re interested in how AI can help us forecast conflict then this is the conversation for you!

*****

Hannes Mueller

Website: https://www.hannesfelixmueller.com

Conflict forecast: https://conflictforecast.org

LinkedIn: https://www.linkedin.com/in/hannes-mueller-research/

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Mihaela Carstei, Paul M. Bisca, and Johan Bjurman Bergman co-host F-World: The Fragility Podcast. 

X: https://twitter.com/fworldpodcast

Instagram: https://www.instagram.com/fworldpodcast/

Website: https://f-world.org

Music: "Tornado" by Wintergatan. This track can be downloaded for free at www.wintergatan.net.

Video editing by: Alex Mitran - find Alex on Facebook (facebook.com/alexmmitran), X (x.com/alexmmitran), or LinkedIn (linkedin.com/in/alexmmitran)

EPISODE RESOURCES

Timothy Besley and Hannes Mueller. 2012. Estimating the Peace Dividend: The Impact of Violence on House Prices in Northern Ireland. American Economic Review.

Timothy Besley, Hannes Mueller, Fiscal Capacity and State Fragility In: Macroeconomic Policy in Fragile States. Eds: Ralph Chami, Raphael Espinoza, and Peter Montiel, Oxford University Press (2021). International Monetary Fund. DOI: 10.1093/oso/9780198853091.003.0009

Hannes Mueller, Christopher Rauh, The Hard Problem of Prediction for Conflict Prevention, Journal of the European Economic Association, Volume 20, Issue 6, December 2022

Hannes Mueller, Christopher Rauh, & Alessandro Ruggieri. 2022. Dynamic Early Warning and Action Model, Cambridge Working Papers in Economics 2236.

TIMESTAMPS

(00:00:00) Introduction

(00:01:17) Hannes’s background

(00:03:26) Shock therapy in Poland vs. Russia

(00:05:42) How Hannes’s interest in politics shapes his research

(00:09:09) Institution formation, fragility, & fiscal capacity

(00:16:05) Trust, taxation, & public services

(00:22:06) What is fragility

(00:29:32) Relationship between fragility & violent conflict

(00:33:11) Macroeconomic implications of conflict

(00:37:21) Does conflict always lead to fragility

(00:41:21) Forecasting fragility vs causal understanding

(00:43:42) Human factors & forecasting fragility

(00:50:42) Prevention & forecasting

(00:55:09) Why is conflict prediction a hard problem

(00:58:19) Machine learning for conflict prevention

(01:03:21) What is a good model for conflict prevention?

(01:11:05) Text availability by language for training the model

(01:15:54) Conflictforecast.org demo

(01:25:31) What can you ask the model & what you shouldn’t ask

(01:37:47) How can the model inform policy action & prevention

(01:44:36) How can conflictforecast.org augment human decision making

(01:49:51) The role of stabilizing factors in cross country comparisons

(01:54:22) Hannes’s data wish list

(02:01:26) Do LLMs like ChatGPT impact the model’s performance

(02:04:37) Is there a role for sentiment analysis

(02:08:45) Future research goals

(02:13:08) Institutional myopia

(02:15:27) Should we bring back salons

(02:19:15) Wrap-up

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