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Faculty of Mathematics

 

Professor of the Public Understanding of Risk

Research Interests: Public understanding of uncertainty and risk, Bayesian methods, biostatistics, performance assessment

Examples sheets and lecture notes can be found on my teaching page.

Publications

Communicating personalised risks from COVID-19: guidelines from an empirical study
A Freeman, J Kerr, G Recchia, C Schneider, ACE Lawrence, L Finikarides, G Luoni, S Dryhurst, D Spiegelhalter
(2020)
Use of "normal" risk to improve understanding of dangers of covid-19
D Spiegelhalter
– BMJ (Clinical research ed.)
(2020)
370,
m3259
No more damned lies ...
D Spiegelhalter
– NEW SCIENTIST
(2020)
245,
48
Shielding from covid-19 should be stratified by risk
GD Smith, D Spiegelhalter
– BMJ (Clinical research ed.)
(2020)
369,
m2063
The effects of communicating uncertainty on public trust in facts and numbers.
AM van der Bles, S van der Linden, ALJ Freeman, DJ Spiegelhalter
– Proceedings of the National Academy of Sciences
(2020)
117,
7672
Should We Trust Algorithms?
D Spiegelhalter
– 2.1
(2020)
Introducing The Art of Statistics: How to Learn from Data
D Spiegelhalter
– Numeracy
(2020)
13,
1
Risk perceptions of COVID-19 around the world
S Dryhurst, CR Schneider, J Kerr, ALJ Freeman, G Recchia, AM van der Bles, D Spiegelhalter, S van der Linden
– Journal of Risk Research
(2020)
23,
1
Hormone replacement therapy and the risk of breast cancer: How much should women worry about it?
M Climént-Palmer, D Spiegelhalter
– Post Reproductive Health
(2019)
25,
175
The Met Office Weather Game: investigating how different methods for presenting probabilistic weather forecasts influence decision-making
EM Stephens, DJ Spiegelhalter, K Mylne, M Harrison
– Geoscience Communication
(2019)
2,
101
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Research Groups

Centre for Mathematical Imaging in Healthcare
DPMMS retired
Statistical Laboratory
Winton Centre for Risk and Evidence Communication

Room

D2.06

Telephone

01223 337945