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Manchester Workshop on
24 - 25 June 2026
The University of Manchester
The Manchester Workshop on Bayesian Experimental Design hosts academics and students across the United Kingdom that conduct research in areas relevant to the Bayesian design of experiments.
Bayesian experimental design covers the optimal acquisition of data, where one is constrained by limited resources and time. It is a very active field, with researchers aiming to make advances in:
Robustness to prior and/or model misspecification
Estimating informativeness better, guiding the selection of designs
Scalability to real-world problems, which suffer from intractable acquisition functions and expensive posterior computations
Incorporating human feedback/preferences in the design process
Moving beyond traditional solutions to experimental design, with new objectives
Researchers attending the Manchester Workshop on Bayesian Experimental Design will discuss recent and ongoing research in pursuit of these advances.
Speakers
Organisers
Acknowledgements
The workshop is hosted at The University of Manchester, with financial and administrative support from ELLIS Unit Manchester, the Centre for AI Fundamentals, and the Department of Mathematics. We acknowledge funding from the UKRI Turing AI World-Leading Researcher Fellowship [EP/W002973/1].
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