Policy Decision Models and Risk Based Regulatory Approaches
Igor Linkov, PhD
US Army Engineer Research and Development Center
Adjunct Professor, Carnegie Mellon
Policy Decision Models and Risk Based Regulatory Approaches
When: Wed June 19, from 6pm
Where: Ihnestrasse 22, Room 3.1.c., FFU
The emerging technologies (e.g., nanotechnology and cybersecurity) and high uncertainty associated with future (e.g., energy and climate) are all characterized by necessity to integrate highly uncertain and often contradictory information to make policy decisions. The US, EU and other governments call for adopting and implementing risk-based standards to identify high-risk areas and select alternatives for risk mitigation, but what does it mean for a standard to be “risk-based”? Risk is traditionally defined as a triplet consisting of what can go wrong, how likely it is to happen, and the consequences of it happening. Both qualitative and quantitative approaches to risk analysis have been widely used for setting risk-based standards, but there remain significant challenges impeding their use for emerging and evolving threats.
Zeit & Ort
19.06.2013 | 18:00
Ihnestraße 22, FFU, Raum 3.1.c