EIT Manufacturing Summer School

Exploring the Market for Eco-friendly and Socially Committed Manufacturing

The present hurdles in manufacturing revolve around minimizing resource usage and environmental harm, amidst a backdrop of escalating automation in production where digitalization is pivotal. However, progress must adhere to social responsibility standards.

During this “Market Exploration Bootcamp”, participants will have the possibility to study the reference context and users of their Business Idea, using problem framing methodologies, in order to develop economically, environmentally and socially sustainable solutions. For those still developing their business idea will engage in tackling a designated challenge.

Detailed programme description

The Summer School kicks off with a “True Stories” workshop, where participants gain insights into entrepreneurial decision-making. Two academic sessions, comprising interactive sessions and hands-on technological seminars, will follow. The event is structured to deliver a comprehensive introduction to the subject, progressing to practical examples and specific case studies, culminating in a guided hands-on activity.

In the first session, the focus will be on exploring the integration and application of Artificial Intelligence (AI) in the manufacturing sector. The second session will equip participants with current methods and tools to foster creativity and drive sustainable innovation. Company representatives will share their experiences and success stories, fostering interactive and participatory learning.

_{Last year’s Summer School – Our students working on Ecosystem Mapping, Field Research understanding customers’ perspective, visit to CIIRC lab.}

Visits to startups and established companies will showcase innovative experiences and facilitate networking. A presentation on the cooperative activities of the Mondragón group will offer insights into socially sustainable organizational options. Participants will also visit the Mondragon Business Development Centre, which focuses on entrepreneurship development, diversification, and the generation of new business activities.

During the Market Exploration Bootcamp, participants will hone their ability to define and develop a design research project. This encompasses all phases, from identifying the correct research question to validating assumptions through experimental design. This research process is integral to analyzing the context and needs of future users for individual business idea development. The Bootcamp follows a learning-by-doing approach, guiding participants through concepts and tools via the design of a research project case and the execution of experiments.

The Summer School will conclude with an optional Symposium, where students will present the progress of their research and its connection to their developing business ideas. Additionally, a cultural visit to Donostia/San Sebastian, the capital of the province of Gipuzkoa, will be organized, offering participants a chance to immerse themselves in the city’s social and cultural life.

_{Last year’s Summer School – Mondelez International plant visit, CTU Mech Lab visit, Bratislava city visit, final presentation from students.}

Learning outcomes

• Understand Business Decisions: Gain insight into effective decision-making in entrepreneurship, exploring decision processes and influencing factors.
• Explore Real-world AI Applications in Manufacturing: Delve into case studies showcasing AI integration in manufacturing, gaining practical insights into its potential.
• Learn Creativity and Sustainable Innovation Methods: Be introduced to tools and techniques for fostering creativity and driving innovation with environmental and social considerations.
• Acquire Research Methodologies: Develop essential skills in formulating research questions, designing experiments, and analyzing data to undertake rigorous investigations.
• Engage in Pre-totypation and Experimentation: Participate in hands-on activities to validate assumptions and refine ideas through guided experimentation, fostering iterative improvement.