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DC Labs will make a substantial investment in esports research as part of this world-first collaboration in esports between ESL and the University of York. 
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Behavioural data from games are highly complex and difficult to visualise and make actionable. We're developing customisable visualisation tools for esports to help make these insights more accessible. 
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We're applying artificial intelligence and machine learning to esports data from a wide range of matches to predict who will win an specific match.
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We're developing new ways of experiencing esports by introducing technology to create different viewing experiences - with the intention of making these games more accessible to all. 
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Learning to play esports can be difficult. We're developing AI supported tutorials that adapt to the player to help them master the games. 
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Esports matches are fast and furious and can be difficult to understand. We've developed an app for a smart phone to work as a second screen to use the rich data available in esports matches to help viewers get a better understanding of what's going on. 
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Your skill in esports games correlates with your intelligence, which suggests we could use IQ tests to find gifted esports players from a young age, even before they play the games.
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We're using machine learning and data mining to find patterns in playstyles across many players to help people visualise their stats, learn how to play like a professional and improve their performance.
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Co-Investigator, Psychology
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Professor, Co-Investigator, Computer Science
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Researcher, Computer Science 
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Associate, Computer Science
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Senior Software Architect, Computer Science