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  1. Machine-learning-methods-in-sports-injury-prevention.jpg

    30/03/2022

    Machine learning methods in sports injury prediction and prevention

    Machine learning (ML) methods could be helpful in injury prediction and prevention, so which ML methods are currently used and are they accurate?
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  2. Spinoffs in sports tech #7.png

    29/03/2022

    Spin-offs in Sports Tech #7: Elipsys

    For the 7th article in our series about academic spin-offs in sports tech, we spoke with Adam Kiefer, CEO & Co-founder at Elipsys. Elipsys creates evidence-based learning models that support…
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  3. STRN_Webinar_Marketing-communication_Cover_small.png

    21/03/2022

    Webinar insights - Marketing & communication actions for Sports & Health tech professionals

    In this guest article Julie Vandenhouweele sums up a few take-aways from our webinar on 16/03, in which she was a panelist together with Alfred Campenaerts and Cheri Bradish.
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  4. STRN_Webinar_Product-design-and-development-2.png

    01/03/2022

    Webinar insights - Product design & development in Academia, Industry and Sports practice

    Here's a summary of the most interesting insights from our webinar on 23/02. Our 3 panelists were: Dries De Roeck, Ine Van Caekenberghe and Jan Stryckers.
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  5. Sports Information Sytems-A Review.jpg

    22/02/2022

    Sports Information Systems: a comparison for categorization

    Requirements for Sports Information Systems (SIS) are very heterogeneous, so which fields, features and functions do SIS actually cover?
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  6. Spinoffs in sports tech #6.png

    08/02/2022

    Spin-offs in Sports Tech #6: Runeasi

    Introduction For the 6th article in our series about academic spin-offs in sports tech, we spoke with Kurt Schütte, CEO & Co-founder at Runeasi. Runeasi offers evidence-based biomechanical…
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  7. Stakeholder engagement in sport and exercise medicine.jpg

    11/01/2022

    The role of stakeholder engagement in sport and exercise medicine

    The right amount of stakeholder engagement is crucial for innovation in sports and exercise medicine, but how to identify the right amount?
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  8. Data Visual.jpg

    22/12/2021

    Sports Data Visualization Insights

    How can we create visualizations of data in sports that are accurate, clear, and actually useful to the end-user? 
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  9. Artificial Intelligence Sports Medicine.jpg

    13/12/2021

    The use of artificial intelligence in sports medicine

    Artificial Intelligence techniques can transform the field of orthopaedics and sports medicine, but to which aspects will AI add the most value?
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The Sports Tech Research Network is an initiative of the sports innovation consortium at Ghent University (Belgium) called Victoris, in collaboration with the non-profit organization SportaMundi.

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