Risk Analytics Symposium

 

 

Welcome

Eligible for up to 14.50 SOA and AAA CPD Credits

The landscape of data analytics is fast changing. The insurance industry is facing unprecedented challenges and opportunities in this digital age. Disruptive technologies have brought new opportunities for innovative businesses and will drive to extinction companies who fail to adapt. While the industry needs to integrate classical theory with new technologies, the academia provides a fertile ground for interdisciplinary innovations.

The symposium aims to provide a venue for bringing together industrial professionals, academics and students interested to discuss latest technological development and discoveries in risk analysis and predictive analytics.

 

WHY JOIN THIS SYMPOSIUM?

  • Learn latest development in risk analytics research at the intersection of academic research and industry practice.
  • Gain valuable insight through networking with thought leaders in industry and academia.
  • Join the local community for innovative education and research collaboration.

 

REGISTER TODAY FOR THE RISK ANALYTICS SYMPOSIUM
 

Registration

 

Registration

Thanks to the generous support from our sponsors, only a nominal registration fee is required. All costs for all sessions, meals, breaks and a cocktail reception will be covered.

Industry Professional $60
Academic $30
Chicago Actuarial Association Member $30
Student $30
University of Illinois alumnus/alumna $30

Thanks for your support of academic-industry partnership.

SOA

RiskLab

ORMIR

 

 

Organizing committee

  • Daniel Linders (University of Illinois) (Chair)
  • Mark Vonnahme (ORMIR, University of Illinois) (Co-Chair)
  • Klara Buysse (I-RiskLab, University of Illinois)
  • Alfred Chong (University of Illinois)
  • Lynne McChristian (ORMIR, University of Illinois)
  • Thomas Edwalds (Chicago Actuarial Association, DePaul University)

Scientific committee

  • Runhuan Feng (UIUC) (Chair)
  • Hailiang Yang (University of Hong Kong)
  • Chengguo Weng (University of Waterloo)
  • Ken Seng Tang (University of Waterloo)
  • Sheldon Lin (University of Toronto)