This book provides a sample of studies and concepts created within the project Media ENriched Sport ExperienceS (MENSES). A project powered by Hilversum Media Campus, ZIGGO and Breda University of Applied Sciences. MENSES aims to create new media enriched sport experiences, by means of introducing innovative digital concepts combining media entertainment and live sport content. It wants to share building stones and blueprints to be accessed in Hilversum. As such it will help organizations to answer the question how live and broadcasted sport experiences can be enriched by means of new digital strategies. By combining interaction, transformation and data enrichment, the mediated and live sport events should be turned into a memorable sport experience
Sports are activities enjoyed by many across the globe, regardless of age. The existence and promotion of youth sports has often been based on various assumptions about its value and role in society. Sports participation is assumed to be fun and good and is assumed to contribute to the development of young people. As a result, sports are often seen as an essential part of life for youth. Participation in sports and physical activity is assumed to help young people to develop in a context in which they are able to learn important positive societal values (Fraser-Thomas et al., 2005; Holt, 2008). Although there is a widespread belief in the positive dimensions of sports participation for young people, there is a need for research and theory that identifies and critically looks at the processes through which sports participation by youth is experienced and shapes their lives (Coakley, 2011). I return to this critical perspective after I elaborate on the ways sports are viewed as important effective activities for positive youth development.
Dutch National Sports Organizations (NSFs) is currently experiencing financial pressures. Two indications for this are described in this paper i.e. increased competition in the sports sector and changes in subsidy division. Decreasing incomes from subsidies can be compensated with either increasing incomes from a commercial domain or increasing incomes from member contributions. This latter solution is gaining interest as a solution for the uncertainties. Many NSFs have therefore participated in a special marketing program in order to enlarge their marketing awareness and create a marketing strategy, in order to (re)win market share on the sports participation market and gain a more stable financial situation. This paper introduces my research related to the introduction of marketing techniques within NSFs and the change-over to become market oriented. An overview of existing literature about creating marketing strategies, their implementation, and market orientation is given. This outline makes obvious that the existing literature is not sufficient for studying the implementation of marketing techniques and market orientation within NSFs. Therefore, it shows the scientific relevance of my research. The paper concludes with the chosen research methodology.
The scientific challenge is about unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries,, combining expertise from data science, computer science and sport science. Suggested features from literature, as well as several novel ones, will be considered and filtered on how they capture success in soccer. A manageable set of features will then be obtained from various available Dutch datasets (focusing on successful play). Subsequently, the same features will be used to compare playing styles between both countries. Features of game play will be approached from two different angles. The first angle (spearheaded by the Brazilian computer science partner) concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch. The second angle (lead by the Dutch data science partner) will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders, etc.) can help to characterize this. For the comparison between countries data will be collected in four different age categories in Brazil and the Netherlands during official games, in order to compare (the development of) game play between both countries. Data will be collected by means of the Local Position Measurement System, for reasons of accuracy and consistency. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to (1) decide upon their strategy before a game, (2) analyze player- and team behaviour during a game enabling to adjust the strategy accordingly, and (3) choose and/or design training forms to improve player- and team behaviour.
The scientific challenge is about unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of game play of both countries,, combining expertise from data science, computer science and sport science. Suggested features from literature, as well as several novel ones, will be considered and filtered on how they capture success in soccer. A manageable set of features will then be obtained from various available Dutch datasets (focusing on successful play). Subsequently, the same features will be used to compare playing styles between both countries. Features of game play will be approached from two different angles. The first angle (spearheaded by the Brazilian computer science partner) concerns features that capture the dynamics of game play and characterize aspects of formation on the pitch. The second angle (lead by the Dutch data science partner) will focus on how an attack is built up, and how key events (shots on goal, transitions from defenders to midfielders, etc.) can help to characterize this. For the comparison between countries data will be collected in four different age categories in Brazil and the Netherlands during official games, in order to compare (the development of) game play between both countries. Data will be collected by means of the Local Position Measurement System, for reasons of accuracy and consistency. The applied science part of this proposal is focusing on bridging the gap between fundamental science and soccer practice, i.e. coaches, trainers, clubs and federations. The outcomes of the fundamental part will be implemented in a coach-cockpit, a software application which trainers and coaches can use to (1) decide upon their strategy before a game, (2) analyze player- and team behaviour during a game enabling to adjust the strategy accordingly, and (3) choose and/or design training forms to improve player- and team behaviour.
