The recent boom in generative artificial intelligence (AI), the availability of large novel data sources, and advanced computational modelling techniques has the potential to significantly transform economic research. Questions regarding the deployment and how to best exploit such technologies are gaining traction within academic and policy circles. This conference brings together practitioners from varying backgrounds to discuss such topics and 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 College London.
The ECONDAT Program consolidates wider efforts by multiple central banks and international organisations to create a community of researchers across a diverse set of fields (economics, data science, statistics, computer science) and institutions (academic and non-academic). To further grow this community, the program organises 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.
We invite you to submit empirical or theoretical work in this area focused on (but not limited to):
Submissions for presentation at this conference should be sent through no later than 31 January 2024. Full papers are preferred, and extended abstracts will be considered only in exceptional cases. When making a submission, please indicate if you would be available to also discuss a paper within your field of expertise. Authors of accepted papers will be contacted by early March.
The conference is planned as an in-person event. For any enquiries, please contact dafm@kcl.ac.uk.
