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Home > Research > Big data empirics and policy analysis

Big data empirics and policy analysis

13 November 2017

​13-14 November 2017

The Advanced Analytics Division and the Centre for Central Banking Studies at the Bank of England jointly invite you to discuss the juncture of big data, analytics and policy, and how these can be used to better understand the economy and its interaction with policymaking. A wide range of large granular datasets have recently become available to central banks and regulators. Simultaneously there have been considerable advances in data‑driven modelling techniques. These include machine learning and artificial intelligence which may themselves have a profound impact on a multitude of industries and the labour market. The combination of large data sets and cutting‑edge novel and established modelling techniques should enable central banks and regulators to gain fresh insights into the working of the economy, financial markets and allow them to carefully gauge their policy actions.

Candidates will be central bankers, regulators and academics interested in big data questions and analytical techniques. The event aims at sharing insights from innovative projects and exchange ideas on how to harness these for policy recommendations. The event will consist of invited and contributed talks, while allowing plenty of time for discussion.
Full event information and registration

Call for Papers, deadline for Extended Abstracts:  4 June 2017
Call for papers

Key Dates
Abstract submission: 4 June 2017
Author notifications: 7 July 2017
Event application/registration: 7 August 2017
Participant notification: 18 August 2017
Conference: 13-14 November 2017