Impacts

The proposed summer school is designed to enhance the global visibility and educational mission of the IEEE Computational Intelligence Society (CIS). By combining concept-based lectures, hands-on workshops, and a fun, competition-driven format, the program targets undergraduate and pre-university students—many of whom are engaging with Quantum Computational Intelligence (QCI) for the first time. Through this early exposure to fuzzy systems, evolutionary computation, generative AI, and the QCI&AI tools, students gain both foundational knowledge and practical experience. This initiative aligns with educational policies in countries such as Taiwan, where computational thinking is being integrated into early-stage curricula. The summer school will also serve as a platform for international collaboration and IEEE CIS engagement. Participants and volunteers from diverse regions will work together, mentored by world-class researchers and senior IEEE members. These interactions foster cross-cultural teamwork and academic networking while encouraging students to contribute to the IEEE CIS community through membership, conference participation, and future research publications. Finally, the program emphasizes sustainability through knowledge sharing. All lectures, tutorials, and hands-on session recordings will be archived in the IEEE CIS Resource Center, serving as accessible educational resources for global learners. Feedback from students provides valuable insights for refining future editions. By supporting this summer school, IEEE CIS not only expands its academic influence but also nurtures the next generation of computational intelligence researchers and practitioners—advancing the Society’s mission of global, inclusive, and innovative education.