Are we really ever going to be able to predict injuries (?) with Sam Robertson (Head of Research and Innovation at Western Bulldogs and Victoria University)

Are we really ever going to be able to predict injuries (?) with Sam Robertson (Head of Research and Innovation at Western Bulldogs and Victoria University)

With '2 full-time jobs', Sam Robertson is the Head of Research & Innovation at both Victoria University and Western Bulldogs in the AFL. Sam is best known for his views and experience of machine learning and analytics (which are demonstrated in this excellent presentation) as well as his expertise in facilitating applied research. Although Sam was on the first day of his holiday in Mexico City when we spoke, if you are interested in the area of 'big data', you will love this episode. Sam mentioned quite a few papers in this episode which can be found on his Researchgate page.

In this episode, you will learn -

  • Who is Sam Robertson (background, education and current role)
  • Machine learning
    • What is it?
    • Tools
    • Use in practice & research
  • Predictions
    • Injury
    • Future performance
    • Training load
    • Ethical issues

Sam can be found on Twitter @Robertson_SJ

This episode of the Pacey Performance Podcast is sponsored by Vald Performance, the team behind the NordBord and the new Groinbar, a hip and groin strength measuring solution. They can be found at valdperformance.com and you can get more information on the groin bar at groinbar.com and on Twitter @groinbar.

This episode is sponsored by Fatigue Science. Fatigue Science combine wearable technology with biomathematical science developed by the US Army to offer fantastic insights into sleep and cognitive fatigue.

This episode is also sponsored by Forcedecks. If you want to know more about ForceDecks, listen to episode #139 of the Pacey Performance Podcast with co-founder, Dr. Daniel Cohen.

Keep up to date with everything that is going on with the podcast by following on Twitter @strengthofsci or visiting strengthofscience.com/podcast.

Enjoy

PP

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