Data Science for Global Risks

Data Science for Global Risks
PRMIA New York is pleased to invite you to their first event of 2018 - Data Science for Global Risks.

Event Information

PRMIA and Columbia University are offering a joint event that brings practitioners and academics together to discuss how modern data science methods can be applied to quantify macroeconomic and political risk for investment management.

Hosted by: Program for Financial Studies at Columbia Business School and the Columbia University Data Science Institute

January 19th, 2018
12:30PM - 6:30PM
Columbia University, Morningside Campus


12:30pm - 1:00pm: Registration
1:00pm - 2:30pm: Speaker Presentations
2:30pm - 2:45pm: Coffee Break
2:45pm - 4:00pm: Speaker Presentations
4:00pm - 4:10pm: Coffee Break
4:10pm - 5:15pm: Panel Discussions
5:30pm - 6:30pm: Reception


Paul Glasserman, Columbia School of Business 

Keynote Speakers:
  • Harry Mamaysky and Charles Calomiris, Columbia School of Business - “How News and Its Context Drive Risk and Returns Around the World”
  • Tsveta Petrova, Eurasia, Practice Head, EG Labs - "Quantifying Political Risk"
  • Eugene Neduv, Data Scientist, State Street Bank & Columbia University - "Network Approach to Interconnected Economies"
  • Sharyn O’Halloran, Columbia University, SIPA, “Data Science for Systemic Financial Risk”
  • Michelle Tuveson, Executive Director, Cambridge Centre for Risk Studies
  • Gideon Magnus, Economist, State Street GX
  • Ron D'Vari, Chairman, New Oak
  • Mark Abbott, Head of Quantitative Risk Management, Guardian Life
  • Mansour Haroun, Economist, State Street
  • Ben Phillips, CIO, EventShares


This event is currently full. Please email to be added to the waitlist.

Member Rates

Sustaining Member - FREE
Contributing Member - FREE
Non-member - $20.00
Special Rates
**Columbia University Affiliates (staff, students, alumni) - FREE**
**Contact to redeem your special discount registration rate. 

1/19/2018 12:30 PM - 6:30 PM
Columbia University, Morningside Campus William and June Warren Hall, Room - Warren 311 1125 Amsterdam Ave New York, NY 10025 UNITED STATES
This event is full.

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