Forthcoming Workshops
Each year CRiSM hosts several workshops focussing on both the statistical methodology and its applications. It provides a great opportunity to keep up-to-date with current research worldwide and to collaborate with academics from other institutions.
Here is a list of all workshops hosted since 2006.
More information on forthcoming workshops can be found by clicking on the links below:
Thu 16 Apr, '26 - Fri 17 Apr, '2610:30 - 15:30 |
Environmental Modelling meets Infectious DiseasesMS.03, ZeemanRuns from Thursday, April 16 to Friday, April 17. OverviewThe workshop aims to promote the transfer of methods and ideas between the environmental modelling and infectious disease modelling communities. By discussing the common mathematical challenges that underpin both subjects, we hope that attendees will gain new tools and perspectives to advance their own research. |
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Mon 29 Jun, '26 - Fri 3 Jul, '26All-day |
Statistics Summer School at Warwick 2026University of Warwick, Zeeman Building, MS.03Runs from Monday, June 29 to Friday, July 03. LMS Research Summer School in Robust Statistics and Reliable Learning AlgorithmsFollowing on from the success of the P@W Summer SchoolLink opens in a new windowLink opens in a new window in 2025, the LMS Research Summer School in Robust Statistics and Reliable Learning Algorithms will be held at the University of Warwick from the 29th June to 3rd July 2026. We gratefully acknowledge support from the London Mathematical Society and CRiSM. The ambition of the summer school is to expose PhD students and early-career researchers to research themes at the forefront of robust statistics, broadly interpreted. It will feature three lecture courses and plenary talks by the world's leading experts in the field, covering topics such as: conformal prediction and distribution-free inference, algorithmic robustness and stability, differential privacy and data contamination. There will also be the opportunity for attendees to present their work, social events and a summer school dinner. |
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