In the area of computer science in sports and team/racket sport research questions regarding Big Data in sports (especially in high-class football) and especially in the area of model formation, pattern recognition and simulation of team sports are posed. This includes the development in the area of data analysis and data visualization as well as the application of modern data bank systems (Relational und NoSQL).

The expertise lies at the intersection between movement sciences, computer science in sports and sport psychology. Cooperation partners are from the economics and high-performance sport sector, amongst others.

Versatile technical equipment (3D-presentation, mobile eye-tracker) makes it possible to test relevant, sport-informatic, movement-scientific, and sport-psychological questions in the respective team and racket sports. Of special research interest are genuine game analysis possibilities in high-performance sport (position data, virtual reality, augmented reality), handling of Big Data (pattern recognition, classification amongst others), motivation and attention research, creativity and performance promotion in upcoming high-class sports (exceeding team and racket sports in the area of ball school, snow school, adventure movement) as well as sport specific sport psychological diagnostics and intervention (memory, attention, perception).

Generally the projects not only aim at expanding the theoretical fundametals in the mentioned research areas (DFG), but they can also be characterized as application oriented (DFL; BISp) and thus service oriented.

Currently five DFG-projects are carried out in the areas computer science in sports and psychology:

• since 2016 | DFG-Förderung: Neuronal mechanisms of creative solutions in complex environments [DFG]
• since 2016 | DFG-Förderung: Finding appropriate and original solutions: An investigation into personal and situational factors that influence motor problem solving and creativity [DFG] 
• 2014 - 2017 | DFG-Förderung: Do you know why you kick where you do? An investigation into the simultaneous engagement of distinct modes of (un-)conscious processing in the laboratory and in a natural action task [DFG] 
• 2012 - 2017 | DFG-Förderung: Inattentional Blindness and Attention: Exploring the Mechanisms Underlying Failures of Awareness [DFG] 
• 2008 - 2017 | DFG-Förderung: Simulation of interaction patterns and simulative effectiveness analysis of creative plays in team sports by means of neural networks [DFG]

 

Three projects wird DFB and DFL:

• 2017 - 2018 | Zertifikatsstudiengang: DFB-WM-Scouting 2018 [more]
• seit 2016 | DFL-Förderung: Positionsdaten im Profi-Fußball [more]
• 2015 - 2017 DFL-Förderung: Schiedsrichter-Evaluation im Profi-Fußball [more]

 

Further research funding:

• 2017 - 2019 | Förderung durch das Ministerium für Gesundheit, Emanzipation, Pflege und Alter des Landes NRW. Identifikation von Faktoren, die die Gefahren von Glücksspielsucht bei Sportwetten vergrößern und die Entwicklung von Präventionsmaßnahmen, um die Glücksspielsucht bei Sportwetten zu vermeiden
• 2017 - 2018 | BISp-Förderung: Arbeitsgedächtnis im Sport [more]
• 2016 - 2017 | BISp-Förderung: Koordiniertes Blickverhalten: Ein Service-Forschungsprojekt beim Beachvolleyball zur Verbesserung der Entscheidungsfindung von Spitzensportlern [more]
• 2015 - 2017 | BISp-Förderung: Entwicklung und Evaluation eines instruktionsbasierten Motivationsprogramms zur Optimierung von Leistung im Hochleistungssport [more] 

The university curriculum consists of team/racket sport-specific contents on theory and praxis with special connection to the mentioned research activities of the institute. The students have the possibility to receive numerous excercise instructor and trainer licences in different sports. Sport-informatic courses complement the wide spectrum with current subjects of information and media technology. Student in bachelor, master and pedagogics courses (Distribution of thesis papers) as well as student apprentices can profit from the institute’s orientation.