About Secion 1

In the area of computer science in sports and team/racket sport research questions regarding Big Data, AI, ML and digitalization 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 (BMBF, DFL; BISp) and thus service oriented.

DFG grants - section computer science in sports:

• 2024 - 2027     SportVid: A portal to support the search, analysis and evaluation of videos in sports and training science  [DFG]
• 2024 - 2026     Implementation of floodlight e-Research technology for the analysis of spatio-temporal motion data in sports science. [DFG]
• 2022 - 2026     Simulation of interactive action sequences in high performance soccer [DFG]
• 2019 - 2026     A theoretical simulation framework for the analysis of predictive rating procedures on networks with application relevance in sport [DFG]
• since 2020       Data-based approaches to the analysis of soccer games from an e-science perspective [DFG]
• 2018 - 2020     Simulation of interaction patterns and simulative effectiveness analysis of creative plays in team sports by means of neural networks [DFG]
• 2018 - 2020     Simulation of complex environments using the example of high-performance soccer   [DFG]
• 2014 – 2016    Simulation of interaction patterns and simulative effectiveness analysis of creative plays in team sports by means of neural networks (Daniel Memmert & Jürgen Perl) (2nd application for extension) 
• 2011 – 2013    Simulation of interaction patterns and simulative effectiveness analysis of creative plays in team sports by means of neural networks (Daniel Memmert & Jürgen Perl) (1st application for extension)
• 2008 – 2011    Simulation of interaction patterns and simulative effectiveness analysis of creative plays in team sports by means of neural networks (Daniel Memmert & Jürgen Perl) (1st application)

BMBF grants: 

• 2022 - 2023     Funding of qualification measures and research projects in the field of machine learning as part of the funding program "Promotion of Artificial Intelligence in Higher Education": A university teaching concept for AI in sports science (uLKIS) [Website]
• 2020 - 2022     Multimodal analysis for sports analytics: Intelligent synchronization and semantic enrichment of position and video data for the analysis of sports match data. "Application of artificial intelligence methods in practice" as part of the German government's AI strategy and the High-Tech     Strategy 2025 [Website]

DFG section psychology:

• 2016 – 2019   Neuronal mechanisms of creative solutions in complex environments (cooperation partner: Dr. Andreas Fink) [DFG]
• 2016 – 2017   Finding appropriate and original solutions: An investigation into personal and situational factors that influence motor problem solving and creativity (cooperation partner: Geert Savelsbergh)  [DFG]
• 2014 – 2017   Do you know why you kick where you do? An investigation into the simultaneous engagement of distinct modes of conscious processing in a natural action task (Daniel Memmert & Matthias Weigelt) (cooperation partner: John van der Kamp) [DFG]
• 2013 – 2017   Inattentional Blindness (Daniel Memmert) (cooperation partner: Daniel Simons)           [DFG]

Projects supported by the DFL (Deutsche Fußball Liga) and DFB (Deutscher Fußball-Bund) are in progress:  

• 2019 - 2020   Certificate course of studies:  DFB-EM-Scouting 2020 [more]
• since 2016     DFL-Funding: position data in professional soccer [more]
• 2015 - 2017   DFL-Funding: referee evaluation in professional soccer [more]

Currently projects are being carried out supported by the German Institute of Sport Science (BISp):

• 2024 - 2025   BISp - Project: AI in Basketball [more]
• 2019 - 2020   BISp - Project: Match-Fixing   [more]
• 2017 - 2018   BISp - Service - Research Project: Match-Analysis in Rugby 
• 2015 - 2017   BISp - Service - Research Project: ''Systematical Process-Coaching'' Method development for and with national coaches and national teams of the german hockey association      [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.