Innovations in Data Synthesis: a SPRITE+ innovation forum

Synthetic data – from generative models to rule-based simulation – offers a methodology where privacy protection, data utility, and innovation intersect. This forum convened experts across disciplines to consider how emerging methods (like GANs, VAEs, diffusion models, and CART) are being applied in practice, especially in domains such as health, policing, social research, and finance. We critically examined trade-offs between utility, fidelity and risk, explored practical deployment strategies, and identified future needs for regulation, tooling, and standards.

Through focused discussion, we aimed to generate a position paper and set the agenda for a new community of practice at the intersection of data synthesis and TIPS (Trust Identity Privacy and Security). Whether you’re innovating new models or applying them in the field, this was our invitation to help shape the future of data-driven innovation.

Read more about the event and view speaker slides:

www.spritehub.org

“Innovations in Data Synthesis” brought together field leaders and practitioners to explore the transformative potential of synthetic data in Manchester on 24th July 2025. “Innovations in Data Synthesis” brought together field leaders and practitioners to explore the transformative potential of synthetic data in Manchester on 24th July 2025.

Applications closed on Thursday 3rd July