David Spiegelhalter: Trustworthy communication of statistics and risk in the age of COVID-19

Presented by: Professor David Spiegelhalter - Winton Professor for the Public Understanding of Risk, University of Cambridge.

This is from a series of talks recorded at our recent conference: AI and data science in the age of COVID-19.

The current epidemic is notable for the vast traffic in official and unofficial information and claims. Professor Spiegelhalter will assess the trustworthiness of the way authorities have talked about statistics and risks, focusing attention on the regular releases of cases and deaths. In particular, he will look at how background actuarial risk can be used to get a perspective on the risks facing us all.

Full agenda: https://www.turing.ac.uk/events/ai-and-data-science-age-covid-19

About the event

This one-day conference will explore the lessons learned during the COVID-19 pandemic. The event will be for researchers and policy makers to share best practice and work together to understand how the UK AI and data science research community can be better positioned to respond to major crises in the future.

This is an opportunity to hear from some of the country's leading voices in the UK's response to COVID-19 and ask the questions at the forefront of everyone's minds. The conference will include keynote talks suitable for a general audience and some more technical talks suitable for an academic audience.

Following this event, a series of workshops will take place exploring the role of AI and data science during the pandemic and priorities for future research. The findings will be published in a report in early 2021.

This work is supported by researchers of the Wave 1 UKRI Strategic Priorities Fund under the EPSRC Grant EP/T001569/1, particularly the “Health” theme within that grant and The Alan Turing Institute.

Conference chairs

Michael Wooldridge (Programme Co-Director for AI, and Turing Fellow at The Alan Turing Institute)

Inken von Borzyskowski (Assistant Professor in Global Policy & International Relations at UCL))

Anjali Mazumder (AI and Justice and Human Rights Theme Lead at The Alan Turing Institute)

Bilal Mateen (Clinical Data Science Fellow at The Alan Turing Institute)

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