Constraint Programming (CP) is a powerful set of techniques to model and solve combinatorial problems, which are ubiquitous in academia and industry. CP has been successfully used for tackling a wide range of real-life complex applications, but finding a good model of a given problem often requires considerable expertise and time. Recent years have witnessed significant research devoted to modelling and solving problems with constraints. The key goals of this workshop are to extend the understanding of constraint modelling, to automate aspects of modelling or model reformulation, to extend the reach of constraint solvers on difficult problems, and to ease the task of modelling.