Call for papers: The use of artificial intelligence in sport science Collection
Published in Social Sciences and Computational Sciences
Collection Overview
Scientific Reports has launched a Guest-Edited Collection on The use of artificial intelligence in sport science.
Artificial intelligence (AI) is increasingly integrated into sports science to enhance performance analysis, optimise training load management, refine injury risk modelling, and support real-time decision-making in both elite and recreational sports. Research in this field applies machine learning, computer vision, wearable-sensor analytics, and predictive modelling to quantify athlete behaviour, physiological responses, and biomechanical patterns with greater precision than traditional methods.
This will be a Collection of original research papers and will be open for submissions from all authors – on the condition that the manuscripts fall within the scope of the Collection and of Scientific Reports more generally. Narrative review articles are also welcomed, to our sister journal Scientific Reviews. We are welcoming submissions until 19th February 2026.
Why is this Collection important?
"This Collection on 'The use of artificial intelligence in sport science' is particularly exciting because it brings together cutting-edge approaches such as machine learning, computer vision, wearable sensors, and predictive analytics to better understand performance, health, and injury risk in sport. AI has the potential to transform how athletes train, compete, and recover, making this a highly relevant area for both researchers and practitioners. I expect the collection to accelerate innovation, foster interdisciplinary collaboration, and help establish new standards for data-driven sport science. Researchers should consider submitting because it offers a focused platform to showcase impactful work in a rapidly growing and influential field."
- Dr. Salvatore Tedesco, Guest Editor
Why submit to a collection?
Collections like this one help promote high-quality science. They are led by Guest Editors, who are experts in their fields, and In-House Editors and are supported by a dedicated team of Commissioning Editors and Managing Editors at Springer Nature. Collection manuscripts typically see higher citations, downloads, and Altmetric scores and provide a one-stop-shop on a cutting-edge topic of interest.
Who is involved?
Guest Editors:
- Pedro Forte, ISCE Douro, Portugal
- Szymon Kuliś, Józef Piłsudski University of Physical Education in Warsaw, Poland
- Salvatore Tedesco, University College Cork, Ireland
Internal Team:
- In-House Editor: Shelby Bollen, Scientific Reports, India
- Commissioning Editor: Sophie Gray, Fully OA Brands, Springer Nature, UK
- Managing Editor: Libby Symons, Fully OA Brands, Springer Nature, UK
How can I submit my paper?
Visit the Collection page for more information on the Collection, and how to submit your article.
Follow the Topic
-
Scientific Reports
An open access journal publishing original research from across all areas of the natural sciences, psychology, medicine and engineering.
-
A Collection of original research articles that apply machine learning, computer vision, wearable-sensor analytics, and predictive modelling to quantify athlete behaviour and physiological responses.
Related Collections
With Collections, you can get published faster and increase your visibility.
Healthy Aging
Publishing Model: Open Access
Deadline: Dec 31, 2026
Kidney Disease and Health
Publishing Model: Open Access
Deadline: Oct 22, 2026
Please sign in or register for FREE
If you are a registered user on Research Communities by Springer Nature, please sign in