The popularisation and entry into mainstream statistical practice of Markov chain Monte Carlo (MCMC) methods and associated simulation algorithms over the last twenty years has been due to its use of Bayesian statistical inference. MCMC methods for statistical inference are routinely being deployed in the basic sciences such as genetics, physics and biology. The recent methodological advances in MCMC presented an opportunity to gather leading experts within the UK and Europe.