Dellaportas, P;
Stephens, DA;
(2020)
Interview with Professor Adrian FM Smith.
International Statistical Review
10.1111/insr.12395.
(In press).
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Abstract
Adrian Smith joined The Alan Turing Institute as Institute Director and Chief Executive in September 2018. In May 2020, he was confirmed as President Elect of the Royal Society. He is also a member of the government's AI Council, which helps boost AI growth in the UK and promote its adoption and ethical use in businesses and organisations across the country. Professor Smith's previous role was Vice-Chancellor of the University of London where he was in post from 2012. He is a past President of the Royal Statistical Society and was elected a Fellow of the Royal Society in 2001 in recognition of his contribution to statistics. In 2003-04 Professor Smith undertook an inquiry into Post-14 Mathematics Education for the UK Secretary of State for Education and Skills and in 2017, on behalf of Her Majesty's Treasury and the Department for Education, published a 16-18 Maths Review. In 2006 he completed a report for the UK Home Secretary on the issue of public trust in Crime Statistics. He received a knighthood in the 2011 New Year Honours list. The following conversation took place at the Alan Turing Institute in London, on July 19 2019.
| Type: | Article |
|---|---|
| Title: | Interview with Professor Adrian FM Smith |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1111/insr.12395 |
| Publisher version: | http://dx.doi.org/10.1111/insr.12395 |
| Language: | English |
| Additional information: | © 2020 The Authors. International Statistical Review published by John Wiley & Sons Ltd on behalf of International Statistical Institute. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
| Keywords: | Bayesian Statistics; MCMC; Hierarchical models; Sequential Monte Carlo. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10106132 |
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