Communicating Complex Statistical Evidence
- 👤 Speaker: Various
- 📅 Date & Time: Thursday 08 January 2009, 09:00 - 19:00
- 📍 Venue: Centre for Mathematical Sciences, Meeting Room 2
Abstract
To be held January 8-9th, 2009.
THEME
Complex statistical models and reasoning can play a major role in informing both policy and individual decisions, but it is not necessarily straightforward to communicate what may be rather subtle statistical issues. This conference will bring together people interested in techniques to maximize the credibility and impact of statistical science in a range of important contexts, including health policy, climate change projections and impact, crime and the law, and epidemic control.
PROGRAMME
There will be a single strand with no parallel sessions. Contributed posters on a topic relevant to the overall meeting theme are invited.
DAY 1 , JANUARY 8TH, 2009
10:30-11:30 REGISTRATION & COFFEE
11:30-12:15 TBD
12:15-13:00 Christl Donnelly, Imperial College London, Using statistics and modelling to understand the “what if”s of infectious disease
13:00-14:00 LUNCH
14:00-14:45 Stephen Fienberg, Carnegie-Mellon, Assessing Information Based Counter-Terrorism Programs:A Statistical Perspective
14:45-15:30 Dr. Ian Evett, The Forensic Science Service, It’s not rocket science: logical inference and the judiciary
16:00-16.45 Lawrence Sherman, Cambridge Institute of Criminology Is it Ethical for Statisticians to Testify About ‘Practical Significance’?
16.45-17:15 Panel Discussion led by Philip Dawid
17.15-18:30 Poster Session & Reception
19:00-21:30 DINNER WITH AFTER -DINNER SPEECH BY (TBD)
DAY 2 : JANUARY 9TH, 2009
09:00-09:45 Simon Thompson, MRC Biostatistics Unit, Long-term health economic models: assumptions and uncertainty
09:45-10:30 David Spiegelhalter, Statistical Laboratory and MRC BioStatistics Unit, Communicating analyses of the performance of healthcare organisations
10:30-11:00 COFFEE BREAK
11:00-11.45 Chris Gilligan, Plant Sciences, University of Cambridge Inference for decision making to control botanical epidemics
11:45-12:30 Andrew Coburn, Risk Management Solutions, Catastrophe Risk Modelling – Decisions and Uncertainty
12:30-13:30 LUNCH
13.30-14:15 Chris Hope, Judge Business School,Cambridge, Probabilistic modelling for climate change policy
14.15-15.00 David Sexton, Met Office Hadley Centre, Probabilistic projections of UK 21st century UK climate change: challenges involved with production and communication
15:00-15:30 TEA BREAK
15:30-16:15 David MacKay, Physics, University of Cambridge, Communicating the Truth About Energy
16:15-16:45 PANEL DISCUSSION & CONCLUSION
WEBSITE
REGISTRATION
Formal registration is available online: http://ccseconf.org/node/3
Only payments by cheque will be accepted, due by 15 December 2008. Institutions requiring an invoice should notify Arciris Garay Arevalo.
COST
Regular: Attendance, lunches and conference dinner – 60 pounds
Day attendance (includes lunch) – 20 pounds per day
Dinner – 25 pounds
Students and concessions:
Attendance – free, but registration required
Dinner – 25 pounds
CONFERENCE CHAIRS
Philip Dawid and David Spiegelhalter
Series This talk is part of the Cambridge Statistics Initiative (CSI) series.
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Various
Thursday 08 January 2009, 09:00-19:00