Improving social services through a generative translation tool for plain/simple language: Validation of its use for social welfare clients, implementation principles and assessment of its impact on benefit uptake The project addresses non take-up of social welfare benefits due to language and administrative barriers. It proposes using an AI tool… Read More »Simplify!
Biodiversity monitoring of grasshoppers with an AI-supported mobile app The aim of the project is to develop the “ChirpScan” app, which uses artificial intelligence to automatically classify grasshoppers based on their songs. The app enables efficient monitoring of biodiversity and serves as a didactic tool to promote biodiversity education. It… Read More »ChirpScan
Sonified Neurological EEG Events Monitoring The project SonNEEM develops innovative solutions for more effective EEG monitoring and decision making in Intensive Care Units (ICU). The project team leverages machine learning, user centered data sonification and auditory display design, tailored to the challenges of ICU settings, with a focus on detection… Read More »SonNEEM
The project aims to develop a novel automated digital tool based on communication theory to analyze how different journalistic perspectives are linked in media reporting. The tool will benefit both strategic communication of organizations and journalistic research within media companies. Team Prof. Dr. Alexandre Bovet, UZH Department of Mathematical Modeling… Read More »New Digital Tools for Media Monitoring and Discourse Analysis
Radiology AI-Driven Clinical Decision-Making with Multi-Modal Exploration 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… Read More »RADICAL
Using data mining to track antibiotic resistance for travelers to the global South The goal of the project is to strengthen surveillance of antimicrobial resistance in animals, and food products, with a focus on international travelers. The project team will explore (and quantify the uncertainty of) using text mining, and… Read More »Digitalizing the fight against superbugs
Participatory GIS and Farmer Science to promote diversification, innovation and cooperation in agriculture The project aims to use a citizen science approach to connect innovative farmers and co-create new knowledge about the cultivation of niche crops. It thus promotes the information exchange between research and agricultural practice and contributes to… Read More »AgroPionier
Towards Personalized Treatment Decisions with Digital Twins The InnoTreat: Towards Personalized Treatment Decisions with Digital Twins project aims to improve the accuracy of clinical diagnosis and treatment decisions for shoulder pathologies. By integrating patient-specific anatomy into biomechanical simulations, the project aims to provide insight into the underlying mechanisms of shoulder… Read More »InnoTreat
The project aims to develop an automated monitoring tool that makes comparative trend analyses of public debates in the education sector accessible to stakeholders and thus enables more differentiated debates. The aim is to contribute to greater transparency in education policy discourse, developments and decisions. Core team Prof. Dr. Barbara… Read More »Educational Policy Transparency Interface
The project aims to promote digital literacy in an academic context with the inclusion of artificial intelligence (AI). It supports students and teaching staff in developing skills in the use of digital tools and AI technologies for academic work and writing. Core team Dr. Christian Rapp, ZHAW School of Management and… Read More »Technological support for scientific work, writing and thinking in the age of AI: conceptualization, technology integration and didactics