Alongside the rise of "generative AI" tools, new forms of "synthetic data" are being generated to assist researchers and practitioners in a variety of tasks. These data appear as-if measured from the real world, but are in fact computer-generated. In this RSS Social Statistics Section discussion session, we will hear how synthetic data is being theorised, generated, and deployed in both academic and public sector contexts.
12:30-14:00, 31 October 2023
12:30-12:35 -- Chair's introduction
12:35-12:55 -- Dr Thomas Robinson (LSE) on theorising and generating synthetic data using deep learning
12:55-13:15 -- Kylie Hill (Ministry of Justice) on the generation and availability of synthetic data using government administrative data sources
13:15-13:35 -- Prof. Ian Brunton Smith (University of Surrey) on synthetic crime data and its uses
13:35-14:00 -- Audience Q&A
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Social Statistics Section
Organiser/ Chair: Thomas Robinson, Assistant Professor, Department of Methodology, London School of Economics