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Quantifying future Olympic sport selection: a data-driven framework for SDE evaluation and selection.

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Summary
This summary is machine-generated.

A new quantitative model helps the International Olympic Committee (IOC) select sports by analyzing factors like social media, viewership, and youth appeal. Esports, Australian rules football, and pickleball are top contenders for the 2032 Brisbane Olympics.

Keywords:
analytic hierarchy processk-nearest neighbour classifierprincipal component analysisscoring and labelling systemthe olympic games and SDEs

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Area of Science:

  • Sports Science
  • Data Science
  • Olympic Studies

Background:

  • The International Olympic Committee (IOC) periodically adds or removes sports, disciplines, and events (SDEs).
  • Current selection processes are subjective, impacting sports like breakdancing's inclusion and exclusion.
  • A quantitative model is needed for objective sport selection criteria.

Purpose of the Study:

  • To develop and evaluate a quantitative decision-making model for selecting new Olympic sports.
  • To assess potential SDEs for the 2032 Brisbane Olympics using defined criteria.
  • To analyze factors including social media engagement, TV viewership, affordability, gender equity, youth appeal, cultural diversity, and global involvement.

Main Methods:

  • Analytic Hierarchy Process (AHP) for scoring and determining factor importance.
  • Principal Component Analysis (PCA) for feature extraction.
  • K-nearest neighbour (KNN) classifier for evaluation.

Main Results:

  • Esports, Australian rules football, and pickleball identified as top candidates for the 2032 Brisbane Olympics.
  • Tug of war, bowling, and chess recommended based on historical relevance and global popularity.
  • The model provides a quantitative framework for evaluating SDEs based on IOC criteria.

Conclusions:

  • The developed model offers an objective approach to Olympic sport selection.
  • Esports, Australian rules football, and pickleball align well with modern Olympic criteria and Australian context.
  • The model supports informed decisions for future Olympic Games' sport inclusions.