Forschungsprojekte – Institut für Data Science

e-Infrastructure Reflection Group Support Programme 7 (e-IRGSP7)

The e-Infrastructure Reflection Group Support Programme 7 (e-IRGSP7) supports the e-Infrastructure Reflection Group (e-IRG). The e-IRG is composed of national delegates representing the political and scientific domain. The e-IRGSP7 project will support e-IRG in providing advice mainly via high-level recommendations and documents on policy-making towards inclusive, federated, user- driven and resilient e-Infrastructures and their related services. For further information, see https://e-irg.eu/e-irgsp7/

Leitung: Jan Wiebelitz

Jahr: 2022

Förderung: EU

Laufzeit: 01.04.2022 - 30.09.2023

Anwendung der Medizinischen Informatik in der physiotherapeutischen Praxis

Aim of the internal project is the application of medical informatics in order to support the diagnosis and therapy with physiotherapy. Emphasis is on the treatment of dizziness and craniocerebral injuries in sports such as football. Especially the use of virtual reality techniques and IoT will be applied.

Leitung: Prof. Dr. G. Von Voigt

Team: CHI

Jahr: 2020

Förderung: Internes Projekt

Laufzeit: 01.01.2020 – unbefristet

e-Infrastructure Reflection Group Support Programme 6 (e-IRGSP6)

e-IRGSP6 is a EU-funded project. It will provide the core services to the e-Infrastructure Reflection Group (e-IRG). The project will support e-IRG in its activities producing high-level policy recommendations towards the implementation of EOSC, EDI and the e-Infrastructure Commons overall.

Leitung: Jan Wiebelitz

Jahr: 2019

Förderung: EU

Laufzeit: 01.01.2019 – 30.09.2021

Errorless Learning

Errorless Learning is an educational project targeted at elementary school children. It teaches kids how to spell words in the form of an interactive mobile game.

Leitung: Prof. Dr. G. Von Voigt

Team: Prof. Dr. G. Von Voigt, Svetlana Ovcharenko

Jahr: 2018

Laufzeit: 01.11.2018 – 30.06.2021

Profiling Toolkit for HPC Applications

Often enough, researchers are satisfied as soon as they receive the results of their computations in an acceptable time frame without recognising the possibilities to optimize their resource usage through performance engineering. The main goal of this project is to increase the awareness of performance issues in all user communities.

Leitung: Prof. Dr. G. Von Voigt

Jahr: 2017

Laufzeit: 2017 – 2020