The Department of Statistics is proud to be hosting the following LSE Public Lecture.
Trying to Quantify Uncertainty
Date: Wednesday 17 November 2010
Time: 6.30-8pm
Venue: Hong Kong Theatre, Clement House, LSE (Houghton Street, London WC2A 2AE)
Speaker: Professor David Spiegelhalter
There has been a traditional division between 'risk', which can be quantified using probability distributions, and 'uncertainty', which is the surrounding mess of doubt, disagreement and ignorance. In well-understood situations we may be happy to quote reasonable odds for future events, and I shall look at ways in which these risks can be communicated visually. When the problem is more complex, analysts may use a mixture of judgement and historical data to construct a mathematical model that can assess future risks, but deeper uncertainties may be glossed over. I will use examples from swine flu to climate change to illustrate different approaches to dealing with uncertainty, from ignoring it to trying to fully quantify it, and conclude that we should all try to be aware and open about the magnitude and potential consequences of our ignorance.
David Spiegelhalter is Winton Professor of the Public Understanding of Risk at the University of Cambridge as well as senior scientist in the MRC Biostatistics Unit.
This event is free and open to all with no ticket required. Entry is on a first come, first served basis. For any queries email [log in to unmask] or call 020 7955 6043.
For information on this and other public lectures please visit the Events webpage on the LSE website:
http://www2.lse.ac.uk/publicEvents/events/2010/20101117t1830vHKT.aspx
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