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Modelling with Big Data and Machine Learning
November 26 - November 27
The confluence of expanding access to data and the rapid advance of modelling techniques like those from machine learning promise new insights into the economy and a larger information set for policymakers. The Bank of England (BoE), the Data Analytics for Finance and Macro (DAFM) Research Centre at King’s College London and the Federal Reserve Board (FRB) are holding a two-day workshop to discuss recent advances in nowcasting and forecasting using big data and novel modelling approaches.
We invite you to submit empirical, methodological or theoretical work leveraging on new granular data sources or exploring recent analytical development to analyse the macroeconomy in the near or medium term. The workshop aims to provide an opportunity to discuss recent scientific advances, as well as to connect with policy makers and academics.
Currently confirmed keynote speakers and panellists:
- Domenico Giannone, Federal Reserve Bank of New York
- Andrew Haldane, Chief Economist, BoE