A Stirling machine is a device, that can be used as a heat pump to effectively cool down a given system. In reverse it can be used to generate electricity out of a heat source. It was invented 200 years ago and has not been improved/changed greatly since then, as there was never an economic interest.
The 1st NGT Hackathon, held at CERN IdeaSquare from 7–11 April 2025, brought together more than 40 students and researchers from across the Next Generation Triggers (NGT) collaboration and 15 other institutes.
IdeaSquare passed an amazing milestone in 2024. We celebrated our 10th anniversary, and it was a moment to look back – at our origins, our development and, most crucially, our impact. With this report, we invite you to be part of our project, share in this occasion and discover everything we have done, do and aim to do.
Technological advancements continue to play a significant role in addressing societal challenges. The intersection of technology, business, and design provides opportunities for developing innovative solutions that respond to critical social needs. Within this framework, different initiatives aim to bridge the gap between scientific research and real-world applications, fostering multidisciplinary collaboration.
The increasing complexity of societal challenges has led to the emergence of educational programmes that aim to equip students with the necessary skills to develop innovative solutions. These programmes focus on interdisciplinary collaboration, fostering global responsibility, and leveraging emerging technologies. By integrating different domains, including deep technology, design, and engineering, among others, such programmes prepare students to address issues aligned with global sustainability goals.
The Future Technologies for Sustainable Fashion (FTSF) programme is an initiative designed to explore the intersection of fashion and technology through a critical lens focused on sustainability, future scarcity, and space habitation.
The development and application of artificial intelligence (AI) have significantly transformed different aspects of society and business, influencing industries, economies, and human interactions. Its rapid advancements have introduced new possibilities in data analysis, automation, and problem-solving, raising fundamental questions about its ethical and sustainable implementation. As AI continues to evolve, there is a growing need to bridge the gap between technological innovation and human needs, ensuring that new developments serve society effectively.