About the conference
The Bank of England hosted a conference 21 to 22 July 2022.
Advanced analytics techniques, such as 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 programmes in academia and policy institutions. This conference was 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 College London.
The conference aimed to connect leading researchers in academia and policy institutions to present and discuss the latest advances in the interdisciplinary field of advanced analytics. For example, how do these techniques best address pressing policy questions, and how do the resulting answers compare with conventional approaches? Could these novel approaches become the norm and how?
This year’s event focused on the use of high-dimensional data. Such data may result from text as data, images, many-time-series environments, or large granular entity data. There are particular challenges of variable and model selection in such settings that we would like to explore in more detail. However, the conference scope extended beyond this focus and we welcome submissions on all theoretical and empirical contributions in areas relevant to macroeconomic policy, such as monetary and fiscal policy transmission, heterogeneous agent models, prudential policy, or financial innovation.
Keynote “Surveying over 100 million people world-wide with Meta: Global Covid-19 Trends and Economic Impacts”
- Frauke Kreuter (LMU Munich & University of Maryland)
- Andrew Blake (BoE)
- Vania Esady (BoE)
- Ana Galvao (Warwick)
- Sinem Hacioglu (BoE)
- Lukas Henkel (ECB)
- Andreas Joseph (BoE)
- George Kapetanios (DAFM)
- Christopher Kurz (Federal Reserve Board)
- Michele Lenza (ECB)
- Michael McMahon (Oxford)
- Chiara Osbat (ECB)
- Fotis Papailias (DAFM)
- Chris Redl (IMF)
- Diego Rodriguez Palenzuela (ECB)