The field of Constraint Answer Set Programming (CASP) is moving towards more efficient and effective solutions for real-world problems. Researchers are exploring new approaches to integrate CASP with other technologies, such as SMT solvers, to enhance its capabilities. One of the key areas of focus is the development of more efficient algorithms and solvers for CASP, which can handle large-scale industrial problems and provide better performance. Another direction is the application of CASP to new domains, such as traffic signal optimization and product configuration, where it can provide innovative solutions. Noteworthy papers include: A CASP-based Solution for Traffic Signal Optimisation, which provides an alternative solution to the traffic signal optimization problem using CASP. ASP-FZN: A Translation-based Constraint Answer Set Solver, which presents a new solver for CASP that is competitive with state-of-the-art ASP solvers.