Computational modeling and simulation are essential to analyze human motion and interaction in sports science. Applications range from game analysis, issues in training science like training load-adaptation relationship, motor control & learning, to biomechanical analysis. The motivation of this seminar is to enable an interdisciplinary exchange between sports and computer scientists to advance modeling and simulation technologies in selected fields of applications: sport games, sport movements and adaptations to training.

New challenges appear due to the enormous amount of data being captured within training and competition domains. Problems that will be addressed are: model selection, data representation (i.e., static or dynamic visualization of modeling results), the development of modeling tools for offline and online (real-time) analysis, the use of appropriate validation methods, logistics and methods of dealing with “big data” (i.e. accessing and running analyses on data which is stored across multiple machines), data integrity (i.e. coping with noisy/missing data), and fusing multiple information sources (e.g., vision and wearable sensors).

In the seminar, experts on modeling and simulation from computer science, sport science, and industry are invited to discuss recent developments, problems and future tasks in these fields. The main purpose of this seminar is to discuss the interdisciplinary process of modeling and simulation, with an emphasis in the cooperation between computer scientists and sport scientists as a cornerstone in the advance of this field. The seminar will focus on three application areas: sport games, sport movements, and adaptations to training. In addition, contributions to the epistemic basics of modeling and simulation are welcome.

Concerning financial support and possible reimbursement of travel costs, please contact Mrs. Eva Dorschky: eva.dorschky@fau.de .

• Arnold Baca (Universität Wien, AT) [dblp]
• Eva Dorschky (Universität Erlangen - Nürnberg, DE) [dblp]
• Ricardo Duarte (University of Lisbon, PT) [dblp]
• Stefan Endler (Universität Mainz, DE) [dblp]
• Björn Eskofier (Universität Erlangen-Nürnberg, DE) [dblp]
• Irfan A. Essa (Georgia Institute of Technology - Atlanta, US) [dblp]
• Hugo Folgado (University of Evora, PT) [dblp]
• Katrin Hoffmann (TU Darmstadt, DE) [dblp]
• Anne Danielle Koelewijn (Cleveland State University - Cleveland, US)
• John Komar (Prozone Sports Ltd. - Leeds, GB & University of Rouen, FR) [dblp]
• Martin Lames (TU München, DE) [dblp]
• Roland Leser (Universität Wien, AT) [dblp]
• Daniel Link (TU München, DE) [dblp]
• Jim Little (University of British Columbia - Vancouver, CA) [dblp]
• Stuart Morgan (Australian Institute of Sport - Bruce, AU) [dblp]
• Bernhard Moser (Software Competence Center - Hagenberg, AT) [dblp]
• Jürgen Perl (Universität Mainz, DE) [dblp]
• Robert Rein (Deutsche Sporthochschule Köln, DE) [dblp]
• Karen Roemer (Central Washington University - Ellensburg, US) [dblp]
• Martin Rumpf (Universität Bonn, DE) [dblp]
• Tiago Guedes Russomanno (University of Brasilia, BR)
• Dietmar Saupe (Universität Konstanz, DE) [dblp]
• Heiko Schlarb (adidas AG - Herzogenaurach, DE) [dblp]
• Malte Siegle (Sportradar AG - St. Gallen, CH) [dblp]
• Michael Stöckl (Universität Wien, AT) [dblp]
• Antonie van den Bogert (Cleveland State University - Cleveland, US) [dblp]
• Anna Volossovitch (University of Lisbon, PT) [dblp]
• Hendrik Weber (DFL GmbH -Frankfurt, DE) [dblp]
• Josef Wiemeyer (TU Darmstadt, DE) [dblp]