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The University of Michigan Law School

         The University of Michigan Law School

 Big Data: Improving the Scope, Quality, and Accessibility of Financial Market Data


Date: 10/27/2016
Time: 08:00 AM to 05:00 PM
Contact: Rickard,Jenny

Location: Honigman Auditorium (Hutchins Hall room 100)

Description: Jointly hosted by the Office of Financial Research and the University of Michigan's Center on Finance, Law & Policy, "Big Data: Improving the Scope, Quality, and Accessibility of Financial Data" will bring together a wide range of scholars, regulators, policymakers, and practitioners to explore how big data can be used to enhance financial stability and address other challenges in financial markets.

TO REGISTER, please visit:

The Big Data in finance conference, which is held in collaboration with the Michigan Institute for Data Science (MIDAS), the Michigan Ross School of Business and the Michigan College of Engineering will explore ways to make financial data more accessible and more secure, as well as more useful to regulators, market participants, and the public. As new data sets are created, opportunities emerge. Vast quantities of financial data may help identify emerging risks, enable market participants and regulators to see and better understand financial networks and interconnections, enhance financial stability, bolster consumer protection, and increase access to the underserved. Financial data can also increase transparency in the financial system for market participants, regulators and the public.

However, these vast data sets can raise significant questions about protecting security and privacy; ensuring data quality; protecting against discrimination or privacy intrusions; managing and analyzing enormous data sets; synthesizing and presenting data in usable form; and sharing data among regulators, researchers, and the public. Moreover, any conflicts among regulators and financial firms over such data could create opportunities for regulatory arbitrage and gaps in understanding risk in the financial system.

How should all of that data be aggregated, protected, analyzed, and shared? We have recruited experts domestically and internationally who have considered these questions and published research on these topics, or who have dealt with these issues in their professional roles and can ground the policy initiatives with real-world experience.

*Please note: registration to the Big Data conference is free and open to the public, but space is limited. Once we reach capacity, we will be unable to accept new registrations.