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Calls

IT-COMMIT: an interactive tool for community interpreter training

Community interpreters interpret conversations in the health, social, education or asylum sectors and thus make a significant contribution to giving people without sufficient knowledge of the national language access to public services. Despite this responsible task, they rarely have the opportunity to practise in their working languages as part of… Read More »IT-COMMIT: an interactive tool for community interpreter training

ClarifAI: Making the Unseen Seen with an AI-assisted Propaganda Detection and Fact-Checking

ClarifAI employs Large Language Models aims at fighting propaganda and disinformation in digital news. It identifies propaganda techniques, fact-checks content, and provides explanations. This empowers users to think critically and discern media biases, enhancing democratic integrity. Team: Dr. Liudmila Zavolokina, UZH Digital Society Initiative  Prof. Dr. Alexandre Bovet, UZH Institute… Read More »ClarifAI: Making the Unseen Seen with an AI-assisted Propaganda Detection and Fact-Checking

YuRo: Real-time 3D vision for robots

Perception is the main bottleneck for robots in human-centred dynamic environments. YuRo will build the first real-time smart camera for robotic manipulators using neuromorphic technology. We will integrate the camera on a robotic manipulator and develop a mobile robot arm assisting in hospitals and care facilities. Prof. Dr. Yulia Sandamirskaya,… Read More »YuRo: Real-time 3D vision for robots

IntelliGuide: Interactive AI-Driven User Manuals for Digital Transformation in the Public Sector

IntelliGuide revolutionizes (software) user documentation by converting traditional manuals into interactive, AI-enabled guides. Aimed at both public and private sectors, like cantonal offices and banks, it aligns with Switzerland’s digital-first strategy. The solution simplifies tasks, reduces help desk costs, and accelerates onboarding across complex organizational settings. Dr. Francesco Sovrano, UZH… Read More »IntelliGuide: Interactive AI-Driven User Manuals for Digital Transformation in the Public Sector

Redefining standard fatigue assessments through novel digital biomarkers

The project team will provide the first digital biomarkers for the objective assessment of fatigue. This will help the pharmaceutical industry to provide new or existing treatments with efficacy claims against fatigue. It will also support clinical decision making and help patients regain control over fatigue. By customizing the tools… Read More »Redefining standard fatigue assessments through novel digital biomarkers

cineMINDS

A knowledge archive of the art of film cineMINDS is developing an international online platform for the collection, research and publication of craft knowledge in the art of film. We open up innovative perspectives for dealing with large video corpora in the digital humanities, promote a low-threshold accessible publication of… Read More »cineMINDS

Histories for the Global Present. Digital Co-Creation in School and Museum

Historical collection objects have a lot to tell about the global interconnections of our present. Often, however, they lack a contemporary translation. The project is developing a digital mediation platform that enables students to question the objects themselves and place them in new contexts. Core team:  Prof. Dr. Sophia Prinz,… Read More »Histories for the Global Present. Digital Co-Creation in School and Museum

Design your city: A virtual reality experience for sustainable urban spaces

In the project, researchers from the ZHAW (School of Engineering, Social Work, Life Sciences and Facility Management) and the ZHdK (Knowledge Visualization) are creating and investigating an innovative tool for participatory design processes. This offers residents and decision-makers the opportunity to virtually experience and participate in the design of a… Read More »Design your city: A virtual reality experience for sustainable urban spaces

Stroke DynamiX

Stroke DynamiX explores data-driven stroke management using machine-learning techniques in a consortium of statistics researchers, translational enablers, and clinical partners. We implement statistical tools to dynamically model stroke epidemiologically and predict real-time sepsis onset in the clinic. Core team:  Dr. Georg Spinner, ZHAW Life Sciences und Facility Management Prof. Dr.… Read More »Stroke DynamiX

IC-DATIM

Intensive Care – Design of an Algorithm-supported Toolkit for effective Information Management The intensive care unit is a hectic environment where medical staff complain of critical overload from numerical values and curves displayed by various medical devices. To reduce the burden on clinical staff, this project aims to design user-centric digital tools making work more efficient while… Read More »IC-DATIM