Methods like the analysis of novel large and unstructured data sources, or the application of techniques from machine learning and artificial intelligence, offer new insights into problems in economics and finance. These approaches have now found their way into broad-based research programs in academia and policy institutions.

This conference is the latest in a series of events jointly organised by the Bank of England (BoE), the European Central Bank (ECB) and the Data Analytics for Finance and Macro Research Centre (DAFM) at King's Business School, King’s College London.

The new ECONDAT Program consolidates wider efforts by multiple central banks, which to date includes the Bank of Canada, Bank of England, Bank of Italy, European Central Bank, Federal Reserve Board, and the Sveriges Riksbank, to create a community of researchers across a diverse set of fields (including economics, data science, statistics and computer science) and institutions (academic and non-academic).

To further grow this community, the program will organise regular conferences on nontraditional data and analytical methods in economics. These interactions are targeted at fostering an environment that will spur cutting-edge research and tools of relevance to a community of academics, policymakers, and statistical agencies.

The conference is planned as an in-person event. For any enquiries please contact dafm@kcl.ac.uk and andreas.joseph@bankofengland.co.uk.

Scientific Committee

• Andrew Blake (BoE)
• Vania Esady (BoE)
• Ana Galvao (Bloomberg)
• Sinem Hacioglu (BoE)
• Stephen Hansen (University College London)
• Lukas Henkel (ECB)
• Andreas Joseph (BoE)
• George Kapetanios (DAFM)
• Christopher Kurz (Federal Reserve Board)
• Michele Lenza (ECB)
• Michael McMahon (University of Oxford)
• Chiara Osbat (ECB)
• Fotis Papailias (DAFM)
• Chris Redl (International Monetary Fund)
• Diego Rodriguez Palenzuela (ECB)
• Iman van Lelyveld (De Nederlandsche Bank)