The Cathie Marsh Lecture 2023 offers a journey into how AI is reshaping social research.
Professor Helen Margetts will explore how AI and social research can enhance each other.
Dr. Nicola Stingelin will tackle the ethical challenges of AI's societal integration, with a focus on policy implications.
Andrew Banks will discuss AI's role in improving official statistics.
The seminar is a must for anyone in social research and beyond who wants to be part of the discussion about the transformative influence of AI in the field of social research and statistics.
Our partner, Sage Publishing, will also be hosting a drinks reception afterwards until 8pm.
Please note this is an in-person event.
Professor Helen Margetts: “What can Social Science do for AI?”
Oxford Internet Institute, Director, Public Policy Programme, Turing Institute
Helen Margetts OBE FBA is Professor of Society and the Internet at the University of Oxford, in the Oxford Internet Institute (of which she was Director, 2011-8). From 2018, she has been Director of the Alan Turing Institute’s Public Policy Programme, which helps the public sector to maximise the potential of data science and AI to improve government and policymaking, while tackling challenges and risks. Before Oxford, she was UCL's first Professor of Political Science & Director of the School of Public Policy (2000-4). She has degrees in Mathematics (BSc), Politics and Public Policy (MSc), Government (PhD, LSE).
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Dr Nicola Stingelin: "AI in Social Research – An ethics perspective”
Ethics Advisor,
Associate Researcher, University of Basel, Institute for Bio- and Medical Ethics, Switzerland
Nicola Stingelin, PhD, MBA, transitioned from global head of intellectual property in the pharmaceutical industry to academia, earning a PhD in medical ethics. With experience in research and lecturing, she specialises in ethics across medical and public health sectors, with a focus on health data and innovation. An ethics advisor to the European Commission and various health committees, she also consults for the pharmaceutical industry and contributes to NHS and IDDO health data initiatives.
Andrew Banks: “Opportunities and risks for using Large Language Models / AI in ONS”
Lead Data Scientist at the Data Science Campus (awaiting further details)
Andrew is responsible for leading research and data science projects in the Campus, in particular how new technology and tools such as Generative AI can be used to support the organisation.
He joined the civil service as an economist in HM Treasury, before working on a range of topics at ONS including economic analysis, statistics production, and data engineering. Prior to joining the Data Science Campus he was Assistant Deputy Director for household finances statistics.