Conference on Non-traditional Data, Machine Learning and Natural Language Processing in Macroeconomics
The Bank of Canada is hosting the third conference on Non-traditional Data, Machine Learning, and Natural Language Processing in Macroeconomics on November 17 to 19, 2021, in a hybrid (virtual and/or in-person) attendance mode. This year’s conference is jointly organized with the Federal Reserve Board and the Bank of Italy.
The goal of the conference is to promote the discussion and dissemination of innovative research on theoretical and empirical advances in macroeconomics, international economics and financial economics that are based on nontraditional data, machine learning, and natural language processing.
Call for papers
The organizing committee invites submissions of research on topics related (but not limited) to:
- Research and policy work focused on novel ways of macroeconomic modelling, measuring inflation, the labor market, or related macroeconomic activity
- The use of large, granular structured or unstructured data sources to predict or understand the state of the economy
- Machine learning (supervised and unsupervised techniques) directed at macroeconomic analysis
- Using payments data for macroeconomic research and forecasting
- Big data topics covering businesses, households, financial markets, labor markets, or fiscal analysis
- Natural language processing for macroeconomics, financial stability, and central banking
Completed manuscripts or extended abstracts should be submitted no later than August 8, 2021. They can be uploaded or submitted by email. A strong preference will be shown towards completed papers. Extended abstracts should demonstrate depth of work on methodology, data sources, expected research findings and policy implications. Submissions should be in PDF format and indicate the contributors including the presenting author.
The Scientific Review Committee will review and select submissions for presentation. Authors of accepted papers will be notified by the beginning of October 2021.
Questions about the call for papers can be submitted by email.
- James Chapman, Banking and Payments Department, Bank of Canada
- Maryam Haghighi, Data and Statistics Office, Bank of Canada
- Ricardo Correa, Division of International Finance, Federal Reserve Board
- Christopher J. Kurz, Division of Research and Statistics, Federal Reserve Board
- Giuseppe Bruno, Division of IT support for Economics and Statistics, Bank of Italy
Scientific Review Committee
- Guerino Ardizzi, Bank of Italy
- Tomaz Cajner, Federal Reserve Board
- Leland Crane, Federal Reserve Board
- Tatjana Dahlhaus, Bank of Canada
- Deepa Datta, Federal Reserve Board
- Ajit Desai, Bank of Canada
- Thibaut Duprey, Bank of Canada
- Juri Marcucci, Bank of Italy
- Nathan Palmer, Federal Reserve Board
- Bo Sun, Federal Reserve Board
- Angelika Welte, Bank of Canada
- Pierre-Yves Yanni, Bank of Canada