He is currently Chair of the Winton Centre for Risk and Evidence Communication in theCentre for Mathematical Sciences at Cambridge.[7] On 27 May 2020 he joined theboard of theUK Statistics Authority as a non-executive director for a period of three years,[8] a term which was extended through to 2026.[9]
David Spiegelhalter playing with Arco IrisSamba band, July 2009
In 2012, Spiegelhalter hosted theBBC Four documentaryTails You Win: The Science of Chance which described the application ofprobability in everyday life.[20] He also presented a 2013Cambridge Science Festival talk,How to Spot a Shabby Statistic at the Babbage Lecture Theatre in Cambridge.[5][21]
He was elected as President of theRoyal Statistical Society, and took up the position on 1 January 2017. His Presidential address later that year took as its subjectTrust in Numbers.[22]
In March 2020 Spiegelhalter launched a podcast calledRisky Talk where he interviews experts in risk and evidence communication on topics like genetics, nutrition, climate change and immigration.[23] He appeared onBBC Desert Island Discs on 6 February 2022.[24]
Spiegelhalter's research interests are in statistics[1][25][26] including
Bayesian approach to clinical trials, expert systems and complex modelling and epidemiology.[27]
Graphical models of conditional independence. He wrote several papers in the 1980s that showed how probability could be incorporated into expert systems, a problem that seemed intractable at the time. Spiegelhalter showed that whilefrequentist probability did not lend itself to expert systems,Bayesian probability most certainly did.[28]
General issues inclinical trials,[31] including cluster randomisation, meta-analysis and ethical monitoring.
Monitoring and comparing clinical and public-health outcomes and their associated publication as performance indicators.
Public understanding of risk,[32][33] including promoting concepts such as themicromort (a one in a million chance of death) andmicrolife (a 30-minute reduction of life expectancy). Media reporting of statistics,[34] risk and probability and the wider conception of uncertainty as going beyond what is measured to model uncertainty, the unknown and the unmeasurable.
In 2003 Spiegelhalter and others published a paper on the many murders of physicianHarold Shipman, in which they found that routine statistical monitoring of mortality could have revealed the murders in 1996, two years and many murders before suspicions were actually raised.[35]
^Spiegelhalter, D. J. (2021).Covid by numbers: making sense of the pandemic with data / David Spiegelhalter and Anthony Masters. Anthony Masters. Pelican.ISBN978-0-241-54773-1.OCLC1250202258.
^Spiegelhalter, David (October 2009)."Don's Diary"(PDF).CAM. Cambridge University Alumni Association. p. 3. Archived fromthe original(PDF) on 3 March 2016. Retrieved21 October 2014.
^Lauritzen, S. L.; Spiegelhalter, D. J. (1988). "Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems".Journal of the Royal Statistical Society.50 (2):157–224.doi:10.1111/j.2517-6161.1988.tb01721.x.JSTOR2345762.
^Gilks, W. R.; Richardson, S.; Spiegelhalter, D. J. (1996).Markov Chain Monte Carlo in Practice. Chapman & Hall.ISBN978-0-412-05551-5.
^Neuenschwander, B.; Capkun-Niggli, G.; Branson, M.; Spiegelhalter, D. J. (2010). "Summarizing historical information on controls in clinical trials".Clinical Trials.7 (1):5–18.doi:10.1177/1740774509356002.PMID20156954.S2CID38751711.
^Riesch, H.; Spiegelhalter, D. J. (2011). "'Careless pork costs lives': Risk stories from science to press release to media".Health, Risk & Society.13:47–64.doi:10.1080/13698575.2010.540645.S2CID72065012.