Conferences  >  Mathematics  >  Probability and Statistics, Game Theory  >  United Kingdom

The RSS conference brings together the statistics and data science community from across the UK, Europe and around the world to share knowledge and learn about latest developments. With over 600 attendees from around 30 countries and all sectors using statistics and data, this is a must-attend event for professionals, researchers, students and everyone interested in the impactful application of statistics and data science.

The International Centre for Mathematical Sciences (ICMS)

Mathematical representations of complex institutions will enable us to move beyond the limits of tools such as game theory by introducing the composability, abstraction, and modularity of software engineering. With formal representations, scholars can begin to imagine a computationally aided design (CAD) of arbitrarily complex institutions. For example, within recent frameworks like "categorical game theory," a focus of this workshop, researchers from across the social sciences can compose systems of economic games into complex governance institutions. With such advances, computationally inclined economists, sociologists, political scientists, and natural resource scholars gain a common language for representing fundamental challenges in the design of social systems.

Optimization Theory, Operational Research,    Applied Mathematics (in general)

Isaac Newton Institute for Mathematical Sciences

The workshop will bring together researchers from different fields to discuss recent advances in Monte Carlo sampling algorithms. Monte Carlo methods have had a profound impact on science and technology for the past 70 years, facilitating major breakthroughs in such diverse areas as statistical physics, computational chemistry and drug discovery, statistical inference and machine learning, econometrics and theoretical computer science, as well as many others.

The workshop is part of a 6 month programme exploring stochastic systems and anomalous diffusion. Anomalous diffusion within the context of sampling refers to the non-Brownian regime. Such anomalous (or non-diffusive) behaviour can be achieved by various means, such as non-reversibility, boundaries and constraints, trapping and intelligent use of gradients. These advances and more will be explored at the workshop.