This post continues to explore Training Adaptation Predictability Problem (TAPP) and how we can influence the cognitive and emotional dimensions of adaptation through an intentional approach to communication and the training environment.

Artificial intelligence (AI) is reshaping the way we learn, work, and create. While its rapid development can feel overwhelming, for those in sport science and strength and conditioning, it presents a major opportunity. In this interview, I sat down with Professor Greg Haff , one of the world’s leading figures in strength and conditioning research and education, to explore how AI and prompt engineering can extend the capacity of sports scientists, educators, and coaches. Pro

This post explores how sports science practitioners can navigate the tension between complexity and simplicity in their communication.

This post outlines four key pillars that underpin the responsibilities of an applied sports scientist.

This post explains the science underpinning isometric strength training and four key reasons why they have become so popular.

This post discusses the book 'Show Your Work' and the 10 ways to share your creativity and get discovered in sports science.

This post introduces concepts in motor learning that can aide sport scientists in optimizing player performance, health, and development.

The hedgehog and the fox have been used to describe different approaches to decision making. Here we consider them in sports science.

I discuss the nine TED Talks secrets to help you become a better speaker, along with an example TED Talk video for each to illustrate.

This post explores what Gary Klein's book Seeing What Others Don't: The Remarkable Ways We Gain Insights means for sports scientists.

This post explains the Dynamic Strength Index, a calculation for sports scientists from a CMJ and IMTP that can guide training programming.

The Performance Cycle is a framework for Sports Scientist to help them keep performance, not just injury, at the forefront of their roles.

Adam Grant's book, Think Again, delves into rethinking and is important for sports science to consider how they think.

According to the Pareto Principle, 80% of results will come from 20% of the inputs. So what does this mean in sports science & performance?

The book "Risk: A User's Guide" highlights that we cannot eliminate risk but must focus our energies on boosting our “Risk Immune System”.

Is it Man vs Machine when it comes to using artificial intelligence with athlete training load management, or can we use a hybrid approach?

Belief can take athletes to another performance level. But do social belief effects, in the coach & S&C programme, influence performance?

Signalling is a powerful tool in our campaign to gain athlete buy-in. Humans’ actions provide an influential form of feedback.

The complexity of sporting environments means systems and research must be translated, rather than simply transplanted.

The Precision Practicality Tradeoff describes the compromise between these two factors. Here we discuss how practitioners can optimise this.