The Federal Reserve Board and the Banca d'Italia are pleased to announce a call for papers for the 2020 Banca d'Italia and Federal Reserve Board Joint Conference on Nontraditional Data & Statistical Learning with Applications to Macroeconomics for all researchers from universities, central banks, national statistical institutes, and public and private agencies interested in the use of Big and nontraditional data for the analysis of macroeconomic phenomena and policy.
The conference will focus on:
- Research and policy work focused either on new methods or new large, granular structured and unstructured data sources to measure or predict inflation, labor market developments and in general economic activity, especially during the recent COVID-19 pandemic.
- The use of Big data and Machine learning techniques for economic and financial analysis, especially for households and firms.
- Research using Natural language processing (NLP) for micro and macro economic analysis, financial stability, banking supervision or to analyze central bank communications.
The conference will be held virtually on November 11 and 12 2020. To allow participation in different time zones the conference will be limited to a few hours per day.
Papers can be submitted through Conference Maker at the link: https://editorialexpress.com/conference/BIFRBConf
More information including the call for papers are available here.
- Giuseppe Bruno (Banca d'Italia), Riccardo Correa (Federal Reserve Board), Christopher J. Kurz (Federal Reserve Board), and Juri Marcucci (Banca d'Italia)