AIESMA Summer School

(AIESMA) Artificial Intelligence-enabled Innovation & Entrepreneurship for Sustainable Manufacturing Summer School

The goal of the this programme is to explore the synergy between artificial intelligence (AI) and sustainability practices in the manufacturing sector. The programme aims to cultivate a cohort of forward-thinking individuals ready to shape the future of the industry. It focuses on providing a holistic and impactful learning experience that prepares participants to make meaningful contributions at the intersection of AI and sustainability. ​ The programme includes idea generation and project-based learning activities to enhance problem-solving skills and encourage teamwork and collaboration.

Why should one consider enrolling to the whole 3-week programme?

The programme addresses the need for integrating technical skills with entrepreneurial and sustainability skills in the manufacturing sector. ​ It aims to prepare participants for future challenges by fostering innovation, sustainability, and entrepreneurship. ​ The programme adds value by promoting competitiveness, green practices, and the adoption of AI in manufacturing. ​ It goes beyond the state-of-the-art by integrating innovative teaching and learning methodologies, such as challenge-based learning and self-directed learning assessment.

1. Holistic Learning: The programme is tailored to integrate technical, entrepreneurial, and sustainability skills crucial in the manufacturing sector. It prepares participants for upcoming challenges by fostering innovation, sustainability, and entrepreneurship, going beyond traditional teaching methodologies.
2. Hands-on Experience: Emphasizing a learning-by-doing approach, participants tackle real-world challenges in manufacturing, enhancing problem-solving and critical thinking skills. The structured weeks guide participants from introduction to problem analysis to solution presentation, ensuring comprehensive understanding and practical application.
3. International Exposure: Held in Trento, Italy, the program facilitates cultural exchange and global networking. Interaction with peers and industry professionals from diverse backgrounds provides insights into various perspectives and approaches to innovation and entrepreneurship in manufacturing.
4. Focus on AI: With AI as a central theme, participants gain in-depth knowledge and hands-on experience with this transformative technology. This focus is crucial in today’s manufacturing landscape, driving innovation, efficiency, and competitiveness.
5. Expert Guidance and Mentorship: Throughout the program, participants receive guidance from innovation experts, industry professionals, and international faculty. This mentorship aids in overcoming challenges, refining ideas, and developing innovative solutions.
6. Networking Opportunities: The platform allows participants to build relationships with peers, industry partners, and potential collaborators. Through team projects, social activities, and networking events, participants expand their professional network, paving the way for future collaborations and career opportunities.
7. Comprehensive Curriculum: Covering essential topics like design thinking, AI applications, entrepreneurship skills, and innovation management, the program offers a holistic understanding of the innovation process, equipping participants with a diverse skill set for success in manufacturing.
8. Sustainability Integration: Strong emphasis is placed on sustainability, guiding participants to integrate sustainability principles into their projects. By addressing environmental, social, and economic impacts, participants contribute to building a more sustainable future for the manufacturing industry.

Background knowledge required

The AIESMA Summer School welcomes participants with diverse backgrounds, but certain prerequisites are recommended to ensure an enriching and productive learning experience. While there is no strict requirement, the following backgrounds are beneficial for participants:

• Engineering background
• Basic Knowledge of Artificial Intelligence
• Proficiency in English (a must)
• Interest in Innovation & Entrepreneurship and Commitment to Sustainability