Topics of interest and themes of the conference include, but are not limited to:

• Educational Timetabling
• Timetabling in Transport
• Employee Rostering - Sports Timetabling
• Timetabling in Healthcare
• Mathematical Programming
• Constraint-Based Methods
• Knowledge Based Systems
• Heuristic Search
• Metaheuristics (e.g., Evolutionary Computation, Simulated Annealing, Tabu Search, Ant Colony Methods)
• Systems to Build Systems (e.g., Hyper-heuristics, Algorithm Portfolios)
• Algorithm Configuration
• Artificial Intelligence
• Trustworthiness, Fairness and Ethical Issues in Timetabling
• Graph Colouring
• Resource Capacity Planning
• Parallel/Distributed Computing
• Hybrid Methods (e.g., Memetic Computing, Matheuristics)
• Machine Learning (e.g., Data Mining, Classifier Systems, Neural Networks, Reinforcement Learning, Deep Learning, GFlowNets))
• Expert Systems
• Multi-objective Approaches
• Multi-criteria Decision Making
• Preference Collection and Elicitation in Timetabling
• Foundational Studies (e.g., Complexity Issues)
• Timetabling Tools and Technologies (e.g., Web Applications, Interactive   and Batch Systems, Standard Data Formats, Ontologies, Experiences, Libraries)