ATRAE Distinguished Researcher at the Instituto de Análisis Económico (IAE-CSIC), Barcelona
Professor of Economics and Data Science at University of Cambridge
Affiliated Professor at Barcelona School of Economics
Fellow at Trinity College Cambridge
Associate Editor at Economic Journal
CEPR, IZA, HCEO and PRIO Affiliate
Research fields: Political Economy, Labor Economics, Data Science, Conflict, Natural Language Processing, Machine Learning
Bio:
I am a ATRAE Distinguished Researcher at the IAE (CSIC) and Professor of Economics and Data Science at the University of Cambridge. I am also a Fellow of Trinity College Cambridge, Affiliated Professor at the Barcelona School of Economics, Associate Senior Researcher at PRIO, and a Research Affiliate at CEPR, HCEO, and IZA. For my research I design surveys and analyze unstructured data using machine learning. I am PI at conflictforecast.org and EconAI, and have conducted multiple projects with the FCDO, German Foreign Office, and IMF. I have published in Economics and Political Science journals, such as American Political Science Review, Journal of European Economic Association, and Journal of Public Economics. My work has been featured widely across the media including The Guardian, Washington Post, the Economist, the BBC, FAZ, and Der Spiegel. I am listed amongst the top 1% of Economists in terms of research output in the last ten years.
Predicted conflict risk over the next 12 months
Covid Inequality Project
We have collected data using multiple survey waves across countries and are finding that the outbreak of COVID-19 is having a large and unequal impact on workers. Please find details about our work here: covidinequalityproject.com
Press coverage: Telegraph,Independendent, Mirage News, The Guardian, BBC Newsnight, voxeu.org, Wired, The Times, Washington Post, ... click here for more
Presentation for a broader audience: Mainz (in German)
Contact:
Faculty of Economics
Austin Robinson Building, Sidgwick Ave
Cambridge CB3 9DD, United Kingdom
Email: cr542 [a t] cam.ac.uk
Phone: +44 1223 335200
ORCID Nr: 0000-0001-6353-1640