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Samantha Kappagoda and David K.A. Mordecai were invited to speak at NECPUC Symposium 2018

Samantha Kappagoda and David K.A. Mordecai were invited to speak at the New England Conference of Public Utilities Commissioners (NECPUC) 2018 Symposium, which took place from May 20-23, 2018 at Cliff House in Cape Neddick, Maine.

Dr. Mordecai spoke on the Plenary Panel on May 22nd, entitled Hair-Raising Hazards: Analytical Frameworks for Risk & Catastrophic Events. He spoke on Hair Raising Hazards from AI, ML & IoT: Adaptive Response to Cyberphysical Risks.

The panel was moderated by Hon. Bruce Williamson, Commissioner, Maine Public Utilities Commission, and the other panelists were the following:

  • Andrew Bochman, Senior Cyber & Energy Security Strategist, Idaho National Labs
  • Susan Ginsburg, Co-Founder and President, Criticality Sciences
  • Richard B. Jones, SVP Research & Engineering, Hartford Steam Boiler

Ms. Kappagoda spoke on Mitigating and Managing the Risk of a Cyberphysical Cat (Event).

The panel, entitled Regulation and Risk Management in the Face of High Impact, Low Frequency Events, was moderated by Hon. Michael Giaimo, Commissioner, New Hampshire Public Utilities Commission. Other participants were the following:

  • Thorn Dickinson, Vice President-Business Development, Avangrid
  • Dalia Patino Echeverri, Gendell Associate Professor of Energy Systems and Public Policy, Duke University
  • Richard B. Jones, SVP Research & Engineering, Hartford Steam Boiler

RiskEcon® Lab for Decision Metrics was established in 2011 at Courant Institute of Mathematical Sciences, an independent division of New York University (NYU). Courant is considered to be one of the world’s leading mathematics educational and scientific research centers, and has been ranked first in research in applied mathematics.

RiskEcon® Lab’s primary role is to enable, facilitate and coordinate academic research focusing on these patterns and trends, via the development of commercially-viable, analytic applications employing computational statistical tools in conjunction with innovative and non-traditional data structures. In addition, the lab’s activities involve the advancement of applied mathematical statistics and computational economics, through interdisciplinary post-doctoral, postgraduate, graduate research and education in data science and social computing.

May 22nd, 2018

New York, NY

 

 

 

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