ZHAW digital is again awarding funding for digitisation projects in 2022. The “Digital Futures Fund” (DFF) promotes innovations and projects with overarching benefits. Since 2020, ZHAW digital has been awarding funds to support special digitisation projects. ZHAW employees receive up to CHF 20’000 for the twelve newly funded projects. The… Read More »12 new digitisation projects start the new year with funding
In the interdisciplinary collection “Weissbuch Corona”, observations, analyses and evaluations on the impact of the Corona crisis in Switzerland were compiled by around forty experts. DSI Directors Abraham Bernstein and Florent Thouvenin also contributed and wrote about the “information crisis” that accompanied the Corona crisis. Further information on the “Weissbuch… Read More »“Weissbuch Corona” – Lessons on the Pandemic
Project state closed Project start April 2022 Funding duration 12 months Universities involved UZH, ZHAW Partner Universitätsspital Zürich Funding amount DIZH CHF 65’406 The platform for medical image data realised as part of the DIZH call enables the simple distribution of the generated images within the hospital and thus makes… Read More »Modularised platform for medical image data (MMIP)
Project state closed Project start May 2022 Funding duration 9 months Universities involved UZH ZHAW Practice partner Universitätsspital Zürich Funding amount DIZH CHF 65’002 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
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 Funding amount DIZH CHF 38’592 https://youtu.be/PJVoi11LMw4?si=XELW3HFIoTPHTwur With a prevalence of 10-30%, writing difficulties are one of the most common learning disorders among schoolchildren. Writing… Read More »Playfully train writing motor skills
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 81’407 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
Enhancing Brain Angiograms for Personalized Stroke Management Project state closed Project start December 2021 Funding duration 36 months Universities involved UZH, ZHAW Practice partners Universitätsspital Zürich Funding amount DIZH CHF 255’362 https://vimeo.com/865476620 In the project, methods were developed to automatically detect and analyze the most important brain vessels in 3D… Read More »Deep Brain Vessel Profiler
Design and Evaluation of a Digital Exergame-Based Solution for Effective and Attractive Sports Rehabilitation Project state closed Project start November 2021 Funding duration 24 months Universities involved ZHAW, ZHdK Practice partners Sphery AG Funding amount DIZH CHF 200’305 https://youtu.be/SUfdl64Q7co After a knee injury, only 65% of athletes return to the… Read More »ExerCube
School-related creation and testing of OER modules Project state closed Project start October 2021 Funding duration 24 months Universities involved PHZH, UZH Practice partner Schulamt der Stadt Zürich, CreativeLab Zürich Funding amount DIZH CHF 189'000 The project ‘Making in the classroom’ (explore-making.ch) was a two-year development and investigation of various… Read More »Making in the classroom
Leveraging Deep Learning to Assess Upper Limb Kinematics after Stroke with Off-the-shelf Webcams Project state closed Project start October 2021 Funding duration 33 months Universities involved ZHAW, UZH Practice partners Cereneo Funding amount DIZH CHF 204’212 https://youtu.be/q14Ux_F_wIo?si=DmWqNllqza2NKCQu Using the labeled video data, a deep learning-based AI model was trained. This… Read More »Tele-Assessment