Women´s Soccer Complexity
A series
Hybrid Modality (Online and Onsite)
Motivation & Purposes
Sports industries' development based on data analytics, modeling, and simulation are rapidly changing and are in a disruptive innovation moment. Professional sports teams commonly have a plethora of data, but do they know how to extract useful information? Or how we can transform data into actionable intelligence? This situation causes sports managers to increasingly suffer from the Data-Rich and Information-Poor Syndrome (DRIPS): when a director has plenty of data from players' performance but does not have a clear roadmap with scientific and technological tools to make data actionable.
Nowadays, in sports, many data platforms exist that collect, share, and leverage data related to the players' performance and actions during a match or season. This data explosion has several difficulties translating data into information and practical knowledge that can lead to better strategic decision-making for different users. Since knowledge generation from sports analytics data requires a scientific perspective, an integrated data science, computational sciences, and complexity science approach is required to face the DRIPS.
In this context, our satellite will focus on integrating different actors and sectors of the sports ecosystem, such as managers, researchers, trainers, entrepreneurs, angel investors, start-up CEOs, students, and academics. Our main goal is to generate relevant interactions between them to study and analyze sports complexity by integrating scientific and social knowledge.
In this edition, we will center on soccer, since in soccer, we find a multitude of complex systems, from the game itself, the competition, the club, and a player to fans.
The central axis and start point of studying soccer will be based on planning strategies to develop new and more creative systems in a competitive context. We argued that from analysis of relevant interactions that we will find in the competition, we could reduce issues and constraints that have been the understanding of the game very complex. This way, the generation of assessment systems with realistic and practical indicators of performance and selection will be analyzed.
Thematics
Subject 1
Talent Identification and Development
Subject 2
Technical and Tactical Evaluation
Subject 3
Healthy and Performance
Subject 4
Human Development
Subject 5
Data Science and Analytics in Competition
Subject 6
Technology and Innovation
Subject 7
Strategy Planning
Organizer and Scientific committee
Nelson Fernández
Títular Researcher at Complex Systems Lab Universidad de Pamplona (Colombia). @Biomarino
Carlos Gershenson
Researcher at Complex Systems Center. Universidad Nacional Autónoma de México http://turing.iimas.unam.mx/~cgg
@cgg_mx
@cgershen
Chief editor of Complexity Digest http://comdig.unam.mx
Marco Garcés
Director of Football Operations Los Angeles Futbol Club, USA
Ricardo Bernal
Sports Development Manager of LIGA Bancomer MX (México)
Miguel Álvarez
CEO Founder de Kaantera. (www.kaantera.com). Inversor business angel, consejero y mentor en startups.
Pol Llorente
RCD Mallorca physical trainer
Palma de Mallorca
[ Auditorium of Palma de Mallorca Convention Center]
[Paseo Marítimo 18-07014-Palma de Mallorca, Illes Balears (Spain)]
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Speakers