Sir Bernard Silverman FRS
I am a statistician whose research has ranged widely across theoretical and practical aspects of statistics. The focus has been on computational statistics, researching the ways that computing power has changed our ability to collect, analyse, understand and utilise data. I have collaborated in many scientific fields, and with various areas of industry and government. After an academic career, I spent seven years as Chief Scientific Adviser to the Home Office.
I now work freelance, with roles including research, policy, consultancy, and expert advice. My current portfolio encompasses modern slavery, geospatial and location data, security, official statistics, and science and technology for policy, business and government.
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The Census: I chair the Methodological Assurance Review Panel for the Census. Our task has been to assure the National Statistician that the statistics resulting from the 2021 Census will meet the code of practice for official statistics and that the predominately online census is methodologically robust. We are also charged with advising on the recommendation about future censuses which will be made by the National Statistician in 2023.
Security: I am a member of the Technology Advisory Panel to the Investigatory Powers Commissioner, whose office provides independent oversight of the use of investigatory powers by intelligence agencies, police forces and other public authorities.
Parliamentary Office of Science and Technology (POST): POST is Parliament's in-house source of independent, balanced and accessible analysis of public-policy issues related to science and technology. I am one of four non-parliamentary members of the Board, which oversees POST's objectives, outputs and future work programme.
The 2022 Florence Nightingale Lecture at the University of Oxford surveys some statistical approaches to Modern Slavery and considers their contribution to what is an important and disturbing aspect of public policy. In particular there are broader questions about presenting statistical evidence in an area where there is so much uncertainty. There are some (imperfect) analogies with Florence Nightingale’s own work and campaign leading to the Public Health Act 1875, which saved the lives of millions.