Why the next NFL star could be a data scientist

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The NFL on Monday opened its crowdsourced challenge to help the league analyze and identify player contact during games using AI and machine learning. The challenge is a part of the NFL's innovative partnership with AWS to create the Digital Athlete, the virtual simulation of an NFL player that will help the league predict and prevent player injury.

The challenge is hosted on Kaggle, an online community that invites data scientists and machine-learning experts to solve real-world challenges using data sets. The NFL's Contact Detection Challenge will be open until March 1, 2023, and the first-place prize will be $50,000.

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The competition's goal is to detect physical contact the players experience in a game. Participants will watch game films to analyze moments of player contact and help improve player safety. Then, machine learning and computer vision will help the NFL identify at which moments in a football play players experience contact.

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In past NFL-sponsored Kaggle competitions, participants aided the league in creating helmet impact detection and identification algorithms, but the league is looking to take it a step further. The results of The Contact Detection Challenge aim to improve the league's ability to predict moments when players will be in contact with each other and with the ground.

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