BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Talks.cam//talks.cam.ac.uk// X-WR-CALNAME:Talks.cam BEGIN:VEVENT SUMMARY:Uncertainty Quantification (UQ) and Communication for Chemical and Biological Hazard Response - Ronni Bowman (Defence Science and Technology Laboratory\; Southampton Statistical Sciences Research Institute\; Univer sity of Liverpool) DTSTART:20180111T143000Z DTEND:20180111T153000Z UID:TALK97522@talks.cam.ac.uk CONTACT:INI IT DESCRIPTION:Effectively calculating and communicating uncertainty is crucial for effective risk management\, but is difficult to achieve in pr actice. \; This is compounded when the application area is highly comp lex with multiple model fidelities\, and &ldquo\;accurate&rdquo\; UQ is im possible. \;

Uncertainty communication must be clear to experts and non-experts alike and must account for a lack of unde rstanding of the definitions of both "risk" and "uncertainty". \; By d rawing on examples from the wide variety of defence applications that requ ire an understanding and communication of uncertainty and outlining the re ason that uncertainty calculation and communication is crucial to decision making\, this talk will explore the current state of the art and outline the many open challenges remaining.

The talk will th en focus on a particular challenge area and work through the complex infor mation chain with associated timelines to provide an insight into the resp onse times required to support real world scenarios. \;
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Content includes material subject to ©\; Crown copyright ( 2017)\, Dstl. This material is licensed under the terms of the Open Govern ment Licence except where otherwise stated. To view this licence\, visit < /i>http://www.nationalarchives.gov.uk/doc/open-governm ent-licence/version/3 or write to the Information Policy Team\, The National Archives\, Kew\, London TW9 4DU\, or email: psi@nationalarchives.gsi.gov.uk LOCATION:Seminar Room 1\, Newton Institute END:VEVENT END:VCALENDAR