). Media studies 2.0: A response . Interactions: Studies in Communication & Culture, 1 ( 1 ), 147 – 157 . George , G. , Osinga , E. , Lavie , D. , & Scott , B. ( 2016 ). Big data and data science methods for management research . Academy of Management Journal, 59 ( 5 ), 1493 – 1507 . doi
Grace Yan, Dustin Steller, Nicholas M. Watanabe and Nels Popp
Brad Millington and Rob Millington
This paper explores the articulations of sport and ‘Big Data’—an important though to date understudied topic. That we have arrived at an ‘Age of Big Data’ is an increasingly accepted premise: the proliferation of tracking technologies, combined with the desire to record/monitor human activity, has radically amplified the volume and variety of data in circulation, as well as the velocity at which data move. Herein, we take initial steps toward addressing the implications of Big Data for sport (and vice versa), first by historicizing the relationship between sport and quantification and second by charting its contemporary manifestations. We then present four overlapping postulates on sport in the Age of Big Data. These go toward both showing and questioning the logic of ‘progress’ said to lie at the core of sport’s nascent statistical turn. We conclude with reflections on how a robust sociology of sport and Big Data might be achieved.
By Richard D. Cramer. Published 2019 by University of Nebraska Press , Lincoln, NE. $28.95 . 256 pp. ISBN 978-1-4962-1205-4 When Big Data Was Small is a memoir by Richard Cramer, one of the earliest and most influential people in the foundation and advancement of the field known as sport
Jos J. de Koning
Rienk M.A. van der Slikke, Daan J.J. Bregman, Monique A.M. Berger, Annemarie M.H. de Witte and Dirk-Jan (H.) E.J. Veeger
-to-use, large-scale, objective, and increasingly precise measurement of performance. Those benefits enable data science in adapted sports research that is traditionally characterized by small participant numbers. Such a big data approach with continued measurements in all conditions might offer an alternative
opponent. Generally, this project is closely linked to the idea of Big Data. Big Data, which is the popular term used to describe the application of large data sets to uncover patterns in ways that until recently were beyond the computational capacity of the most advanced computer system, is
Ceyda Mumcu and Gil Fried
before going to bed because I am interested in an internship in sport marketing. In the morning, I went to the sport marketing class with excitement, but without much insight in what to expect. The readings shed light on big data and how important data were, but I did not really know how to apply that
Blake D. McLean, Donald Strack, Jennifer Russell and Aaron J. Coutts
the Player in the Age of Big Data The process of better understanding physical demands in the NBA is ultimately aimed at enhanced player care and welfare. Player data can be used to benefit individual athletes and improve professional practice. In this process, other aspects of player welfare also
William A. Sands, Ashley A. Kavanaugh, Steven R. Murray, Jeni R. McNeal and Monèm Jemni
Athlete preparation and performance continue to increase in complexity and costs. Modern coaches are shifting from reliance on personal memory, experience, and opinion to evidence from collected training-load data. Training-load monitoring may hold vital information for developing systems of monitoring that follow the training process with such precision that both performance prediction and day-to-day management of training become adjuncts to preparation and performance. Time-series data collection and analyses in sport are still in their infancy, with considerable efforts being applied in “big data” analytics, models of the appropriate variables to monitor, and methods for doing so. Training monitoring has already garnered important applications but lacks a theoretical framework from which to develop further. As such, we propose a framework involving the following: analyses of individuals, trend analyses, rules-based analysis, and statistical process control.
Article ‘The Day the Flame Came to Town’: The Olympic Flame, Symbol, Community and Commodification Joseph Maguire * Jack Black * Becky Darlington * 6 2015 32 2 117 139 10.1123/ssj.2014-0093 ‘The Datafication of Everything’: Toward a Sociology of Sport and Big Data Brad Millington * Rob