Critical digital literacy (also CDL) is an expanding field of profound importance for the future of both research and pedagogies. It redefines literacy from technical fluency to political and ethical agency—to question how platforms, algorithms, and media narratives shape our lives and impact most vulnerable groups and…

Agentic AI extends language models with tools, memory, and the ability to act. Instead of relying on one giant model, many smaller agents can specialize, cooperate, and reuse skills. This makes AI systems more modular and practical, while also raising new questions about transparency, coordination, and responsibility.
Large…

Digital twins are regarded as a key technology for digital production and services, but they are heavily reliant on extensive sensor technology. To ensure they remain affordable and maintainable, physical measurement systems are being supplemented or partially replaced by virtual sensors. This raises fundamental questions…

In our previous article, we explained why Large Language Models struggle to generate valid BPMN diagrams. The problems are substantial: structural complexity, context limitations, the gap between knowledge and execution, non-determinism, and layout challenges.

But these challenges can be solved. We developed a first…

Around 60 percent of global food waste originates in private households – mostly through uncertainty about expiry dates and through everyday routines. As part of a project mentorship for "Schweizer Jugend forscht" (Swiss Youth in Science), the Civa app was used to test whether digital, AI-supported nudges can measurably…