Artificial Intelligence, Optimization, and Data Sciences in Sports: Editorial

Maude J. Blondin (), Iztok Fister () and Panos M. Pardalos ()
Additional contact information
Maude J. Blondin: Université de Sherbrooke
Iztok Fister: Faculty of Electrical Engineering and Computer Science
Panos M. Pardalos: University of Florida

A chapter in Artificial Intelligence, Optimization, and Data Sciences in Sports, 2025, pp 1-5 from Springer

Abstract: Abstract The introductory chapter of this contributed book covers the primary motivation, achievements, and challenges. It also gives an overview of the opportunities of the modern information technology paradigms that have the potential to shape modern sports from the perspectives of sports training, sports data analysis, digital twins in sports, prediction of sports results, and the other essential aspects of knowledge discovery in data arising in various sports. Besides the recent overview of this research area, the authors also summarize the articles in this book.

Keywords: Optimization in sports; Sports data analysis; Digital twins in sports; Prediction of sports results (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-3-031-76047-1_1

Ordering information: This item can be ordered from
http://www.springer.com/9783031760471

DOI: 10.1007/978-3-031-76047-1_1

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().