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Introduction Following the success of the Lidar-Assisted-Control (LAC) Summer Games in 2024, this new edition builds on the lessons learned that were presented at the Wind Energy Science Conference in June 2025 [1]. From an educational perspective, the Summer Games 2024 proved to be a great opportunity for problem-based learning and encouraging collaboration between universities and professionals from the industry. In total, 15 contributions from students and professionals across 6 countries have been submitted to three different disciplines. At the same time, the experience showed how challenging it is to design LAC exercises that are realistic enough to be meaningful, yet manageable within a limited timeframe – especially for students at universities. For the Summer Games 2025, we want to continue this collaborative format with updated scenarios and more realistic wind conditions. Background Wind characteristics are inherently dynamic, subject to sudden changes in speed, direction, and turbulence. Consequently, wind turbines are highly dynamic systems, excited by such stochastic influences and must be designed to handle these variations and disturbances. Traditional controllers react only after wind changes have impacted the wind turbine, resulting in an offset operation until the controller handles the disturbance. Contrary, lidar-assisted control concepts use preview information of the wind to anticipate changes, hence reacting before the disturbance approaches the rotor and therefore improving the operation of the turbine. The mission of our IEA Wind Task 52 working group is to push forward the lidar-assisted control technology and simplify its application by recommended practices, open-source tools, and joined exercises. In line with our mission, we are very glad to launch our Summer Games 2025 after the successful Summer Games 2024 to continue to encourage students and professionals in the art of designing and deploying lidar data processing algorithms and lidar-assisted controllers. By participating in the games, you can increase your knowledge in LAC and enjoy the design process by competing with others. Moreover, we aim to trigger your creativity in three different disciplines and with it motivate the development of new concepts. During the competition, it is intended that the participants learn the existing open-source tools and their application will result eventually in the further development of the tools. Additionally, during the games you will be able to exchange knowledge with different parties of the wind energy community. We are looking forward to strengthening your passion for advancing the vision of modern wind turbines and getting the best LAC out of you! The tools are based on previous publications [2], [3] and built up on the IEA 15 MW reference wind turbine [4] and the open-source controller ROSCO [5]. We intend to write a publication on the results similar to [1] and integrate the learnings in our planned IEA Recommended Practices on Lidar-Assisted Control. [1] Schlipf, D., Weich, S., Raach, S., and Guo. F.: Evaluation and Lessons Learned from the Lidar-Assisted Control Summer Games 2024. Presentation at Wind Energy Science Conference. DOI: 10.5281/zenodo.16105260, 2025. [2] Guo, F., Schlipf, D., and Cheng, P. W.: Evaluation of lidar-assisted wind turbine control under various turbulence characteristics, Wind Energ. Sci., 8, 149–171, DOI: 10.5194/wes-8-149-2023, 2023. [3] Schlipf, D., Guo, F., Raach, S., Lemmer, F.: A Tutorial on Lidar-Assisted Control for Floating Offshore Wind Turbines, American Control Conference, DOI: 10.23919/ACC55779.2023.10156419, 2023. [4] Gaertner, E., Rinker, J., Sethuraman, L., Zahle, F., Anderson, B., Barter, Garrett E., Abbas, N. J., Meng, F., Bortolotti, P., Skrzypinski, W., Scott, G. N., Feil, R., Bredmose, H., Dykes, K., Shields, M., Allen, C., Viselli, A.: IEA Wind TCP Task 37: Definition of the IEA 15-Megawatt Offshore Reference Wind Turbine. DOI: 10.2172/1603478, 2020. [5] Abbas, N. J., Zalkind, D. S., Pao, L., and Wright, A.: A reference open-source controller for fixed and floating offshore wind turbines, Wind Energ. Sci., 7, 53–73, DOI: 10.5194/wes-7-53-2022, 2022.