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DAO4Solidarity explores how decentralized autonomous organizations (DAOs) can enhance transparency, fairness, and participation in nonprofit governance. Together with Solidar Suisse, the project evaluates DAO-based fund allocation and stakeholder engagement models adapted to Swiss legal, compliance,…

The project develops a novel steel connection system to integrate reused concrete slabs into new structures, creating a low-carbon, disassemblable system. By applying DFD principles, it extends the lifecycle of building element and enables structural flexibility across multiple generations.

BioPrint is a transdisciplinary project that quantifies biodiversity footprints at the sector, company, and product level. The results are linked with practical tools and behavioral strategies to support companies in implementing effective biodiversity management.

This project develops a digital spatio-temporal MCDA tool integrating GIS, computational methods, and real-time data to support informed decisions. Case studies and stakeholder input will assess its effectiveness in managing dynamic, real-world challenges.

We aim to develop a sustainable, scalable framework to boost production performance, enable multiline integration at ABB, and deploy an LLM-based chatbot for intuitive interaction with the solution. All are driving toward zero-defect manufacturing and reduced scrap rates required for green…

The project aims to develop innovative explainable multimodal AI methodologies for effective early diagnosis and understanding of multiple chronic diseases impacting large populations in Switzerland and globally.

The project “Cyberdelinquency and Cybervictimization Among Young People in Switzerland” addresses the urgent need for reliable data on criminal behaviours and victimisation in today’s digital environments. While online technologies have revolutionised communication, they have also created new forms…

This validation study examines whether PTE Core speaking assessment reflects how non‑experts judge English used in everyday and workplace communication. Using verbal protocol analysis, it explores which aspects of speech shape layperson judgments and how these relate to automated scoring.

The project seeks to improve the explainability of large language models by applying systematic interventions, such as sparse autoencoders, to open-source reasoning models such as Qwen Deepseek-R1. Transparent AI-driven reasoning is especially important in the life sciences, where trustworthy…

The rapid digital transformation in healthcare has surged data volume and variety, overwhelming clinicians. Much of this data is unstructured, making it hard to explore. Radiology, a key diagnostic field, faces fragmented records. We propose RADICAL, an AI tool streamlining workflows with natural…

Voluntary stopping of eating and drinking (VSED) is increasingly seen as a way of determining the end of life. For physicians and nurses, VSED raises sensitive ethical, professional and practical questions. This project aims to develop ethical, patient-centred best practice recommendations.

The project is developing an automated digital tool based on Niklas Luhmann's systems theory. Using machine learning, it analyses how journalism links political, legal, economic, scientific and other social perspectives in its reporting (multi-system relevance). The tool recognises and visualises…

The project "VegCHange: A toolbox to investigate anthropogenic changes in the Swiss flora and vegetation" is part of the National Research Program "Biodiversity and Ecosystem Services" (NRP 82). It aims at quantifying the changes in the flora and vegetation of Switzerland by combining extensive,…

High quality Carbon Dioxide Removals (CDR) will be essential for meeting our net-zero goals. Aquaforge enables this this with an efficiency-first and scalable CDR solution designed to solve todays pressing problems with an innovative Tech Stack.