The purpose of this workshop is to bring together a diverse group of mathematicians and computational scientists to explore new ways of incorporating data analysis into complex systems modelling, including approaches based on Monte Carlo, stochastic differential equations, Bayesian inference, coarse-graining, stratification, uncertainty quantification, and stochastic numerics. A wide range of application topics will be considered, including collective dynamics (flocking, schooling and pedestrian models), molecular modelling, cell biology, and fluid dynamics.