Abstract
Along with the ever-accelerated update of computer science and techniques, the data-driven ‘computational social science’ has been blooming. But some important questions are: Will this trend bring any changes in sports geographical research? Which challenges will geographers have to encounter? This article briefly reviews the relationship between sport and Big Data before exploring some possible paradigm shifts in the area of sports geography. This article also argues that a new paradigm can have some significant impacts on the directions of research in the area of sports geography. A robust sports geographical study can be achieved by geographers seek to manage ethical, epistemological and methodological challenges in the age of Big Data to provide theoretically and empirically (re)constructed/informed geographical intelligence for modern sport.
| Original language | English |
|---|---|
| Pages (from-to) | 159-169 |
| Number of pages | 11 |
| Journal | Sport in Society |
| Volume | 23 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2 Jan 2020 |
| Externally published | Yes |
Keywords
- Computational science
- big data
- paradigm shift
- prospects
- sports geography