This panel evaluates ways that technological innovation in lending, derivatives clearinghouses, and payments systems may contribute to or help overcome systemic risk.
What are the most significant barriers data scientists face in integrating and reconciling various types and sources of data, including issues of standards, unique identity, ownership, and semantic translation?
With appropriate privacy safeguards, enhanced financial data sharing could improve market discipline, augment consumer protection, and unlock new opportunities for research.
Big Data raises a number of significant ethical, legal, and sociopolitical questions. Is Big Data used in discriminatory ways and, if so, how can discrimination be prevented? Is Big Data invading our privacy?
Private-sector firms, regulators, and academic researchers alike face challenges regarding the reliability and availability of market-wide financial data.
As the number and scope of available data sets proliferate, can we help ensure that proprietary data remains private and secure on one hand, and usable and shareable within and among organizations on the other hand?
