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Entries by Stefan Grösser

Digital Nudges Against Food Waste: How an AI-Supported App Changes Behaviour

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 change behaviour. The results show that […]

Why AI can’t yet generate business process diagrams

Business Process Model and Notation (BPMN) has become the standard for documenting how organizations work. But creating and maintaining accurate process diagrams requires expertise that many companies simply don’t have. Large Language Models (LLMs) could change this. Describing a workflow in plain language and getting a proper BPMN diagram back. The technology seems ready, but […]

Digital Product Passport in the European Photovoltaic Industry: Driving Circular Economy and Sustainable Energy

Researchers from the Bern University of Applied Sciences (BFH), participating in the EU-funded project “Retrieve” are creating a digital product passport (DPP) designed to promote circular approaches within the European photovoltaic (PV) industry. The DPP platform is intended to enhance data management and traceability along the PV value chain, enabling more efficient end-of-life (EoL) processes […]

How the digital product passport for batteries supports sustainable business models and thus promotes the circular economy

In 2027, the EU will introduce a digital product passport for batteries with a capacity above a certain level. All companies that use such batteries and operate in the EU will be affected by this regulation. As part of the new Battery Regulation (EU 2023), the digital battery passport is intended to help make the […]

Environmental Impact of Large Language Models: Green or Polluting?

Large language models have low per-use emissions but high training and hardware production costs. Though each interaction is energy-efficient, large-scale usage and upstream impacts raise environmental concerns. Sustainable AI requires lifecycle assessments, transparency, and cleaner energy sources. Introduction In recent years, large language models (LLMs) such as ChatGPT, Copilot, Claude, and Gemini have seen explosive […]

New Roles for Students – From Consumer to Active Curator of Their Own Learning Through Generative AI

Students are increasingly using AI not just as an aid, but as a replacement for their own thinking – with far-reaching consequences. However, instead of bans, we need strategies. This article shows how generative AI can be used to enhance learning – through four central roles that are reshaping education.  GenAI Impedes the Generation Effect […]