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AUTODIDACT: Automated Video Data Annotation to Empower the ICU Cockpit Platform for Clinical Decision Support

Project state closed Project start May 2022 Funding duration 9 months Universities involved UZH ZHAW Practice partner Universitätsspital Zürich Funding amount DIZH CHF 72'000 The development of a robust and efficient detection method of video objects in the intensive care unit enables, for example, the detection of nursing intensity at… Read More »AUTODIDACT: Automated Video Data Annotation to Empower the ICU Cockpit Platform for Clinical Decision Support

The Ethics-Assessment-Tool for the Humanitarian Use of Drones (E-HUD)

Project state closed Project start April 2022 Funding duration 24 months Universities involved UZH, ZHAW Practice partner World Health Organization (WHO), United Nations Children’s Fund (UNICEF), VillageReach, Medair, Geneva Science Policy Interface (GSPI) Funding amount DIZH 79'000 https://vimeo.com/788673111 In a prior study FEAHD conducted during 2018-2021, the ethical, legal and… Read More »The Ethics-Assessment-Tool for the Humanitarian Use of Drones (E-HUD)

LEAD – LEarning from the pAst

Implementation of the data & visualization hub LEAD: Digitized past pandemics in Switzerland Project state closed Project start April 2022 Funding duration 14 month Universities involved UZH, ZHAW Practice partner Funding amount DIZH CHF 77'000 https://vimeo.com/792278848%20 When new health crises emerge, such as the Covid 19 pandemic, people tend to… Read More »LEAD – LEarning from the pAst

Research Video in Modcast format

Project state closed Project start March 2022 Funding duration 19 months Universitites involved ZHdK Funding amount DIZH CHF 67'000 RESEARCH VIDEO provides a streamlined interface for annotating video, making the interplay between video and text simple and intuitive. RESEARCH VIDEO was developed for artistic and performative research and beyond. In… Read More »Research Video in Modcast format

Playfully train writing motor skills

Development of a serious game for support with writing difficulties Project state closed Project start February 2022 Funding duration 12 months Universities involved ZHAW, ZHdK, PHZH Practice partners Funding amount DIZH CHF 39'000 https://youtu.be/PJVoi11LMw4?si=XELW3HFIoTPHTwur With a prevalence of 10-30%, writing difficulties are one of the most common learning disorders among… Read More »Playfully train writing motor skills

Biodiversity Value At Risk

Project state closed Project start December 2022 Funding duration 14 months Universities involved ZHAW Practice partners Funding amount DIZH CHF 66'000 BIOVAR: ASSESSING AND DIGITIZING RISK EXPOSURE RESULTING FROM BIODIVERSITY LOSS The ongoing SNSF-Innosuisse project www.spatial-sustainable-finance.ch is collecting and integrating multidimensional data to measure the dynamics of biodiversity in different… Read More »Biodiversity Value At Risk

FlowLight

Fostering Productive Work in Hybrid Workplaces through an Ambient Display Project state closed Project start March 2022 Funding duration 15 months Universities involved UZH Practice partner Funding amount DIZH CHF 76'000 The goal of this project was to have a positive impact on the productivity and well-being of knowledge workers… Read More »FlowLight

Computational prediction of long COVID in the Canton of Zurich

Project state closed Project start January 2022 Funding duration 14 months Universities involved UZH Practice partners Universitätsspital Zürich SIB Swiss Institute of Bioinformatics Funding amount DIZH CHF 79'000 Approximately 30% of COVID-19 patients do not recover and develop long-term symptoms (Long COVID). Based on serum immunoglobulin measurements, a prediction score… Read More »Computational prediction of long COVID in the Canton of Zurich

Deep Brain Vessel Profiler

Enhancing Brain Angiograms for Personalized Stroke Management The architecture of the supplying brain blood vessels impacts the occurrence and severity of stroke. DeepBVP will extract the Circle of Willis from MRA, automatically annotate vessel segments and characterize them morphologically and topologically. We employ deep learning methods with a solid knowledge… Read More »Deep Brain Vessel Profiler