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The EMS has published Proceedings since 1884.
Prizes
The EMS awards the EMS PhD Thesis Prize and the Whittaker Prizes to outstanding early-career mathematicians in Scotland. A new prize, the EMS Impact Prize, was introduced in 2021.
- Prof. Mark Jerrum (Queen Mary University London)Perfect sampling, old and new The possibility of obtaining perfect samples efficiently from a complex probability distribution entered the consciousness of the community in the mid-nineties with the invention of `coupling from the past’ by Propp and Wilson. The study of perfect samplers of course has considerable theoretical appeal. But, in addition, their ‘self clocking’ aspect may have practical advantages. […]
- Whittaker Prize winner 2023Prof. Jonathan Fraser (University of St Andrews) The Sir Edmund Whittaker Memorial Prize for 2023 has been awarded to Professor Jonathan Fraser of the University of St Andrews in recognition of his outstanding research achievements.
- Prof. Benjamin Doyon (King’s College London)The emergence of hydrodynamics in many-body systems One of the most important problems of modern science is that of emergence. How do laws of motion emerge at large scales of space and time, from much different laws at small scales? Hydrodynamics offers a basic but very relevant example. Molecules in air simply go along their journey following Newton’s equations. But […]
- Prof. John Baez (University of California, Riverside)Category Theory in Epidemiology “Stock and flow diagrams” are widely used for modeling in epidemiology. Modelers often regard these diagrams as an informal step toward a mathematically rigorous formulation of a model in terms of ordinary differential equations. However, these diagrams have a precise syntax, which can be explicated using category theory. Although commercial tools already exist for drawing these […]
- Prof. Raúl Tempone (RWTH Aachen University and KAUST)Navigating the Unknown: Harnessing Uncertainty in Renewable Energy and Heart Health Uncertainty Quantification (UQ) emerges as a guiding force in the turbulent sea of data-driven domains, from energy to health. This talk presents a methodology that harnesses UQ for robust renewable energy forecasting, employing a stochastic differential equation model that sails beyond the challenges of wind and solar predictability. Shifting […]