Sports scientists want to unpack the black box in sports technology but how can this work with artificial intelligence (AI) data science?

Why context is key in sports science data, and therefore any AI system too. But we should beware when our so-called context becomes bias.

Is the 'Big Data' collected in sports science big enough to train Artificial Intelligence models? Is the data quality clean enough?

Terms like AI & Machine Learning are poorly understood. With Zone7, we have put together an AI dictionary for sport science practitioners.

Thanks to everyone who responded to my appeal to canvas industry opinion on artificial intelligence (AI) in high performance sport. I...

The Swiss Cheese model of accidents has been applied to the COVID-19 pandemic defence. It can also be applied to injury risk reduction.

Explore the evolution of sports injury causation models! Discover how various risk factors interact beyond training load.

This post continues our debate critiquing the acute chronic workload ratio (ACWR) and its role in training load management and sports...

The majority of the literature in load monitoring focuses on injury risk. However, performance is an outcome measure of interest too.