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<b>The AAAI-20 Workshop on AI in Team Sports - Call for Participation<br>
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<b>Key Info:</b></p>
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Workshop URL: https://ai-teamsports.weebly.com</p>
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Registration URL: https://aaai.org/Conferences/AAAI-20/registration/<span> </span></p>
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Online Registration Deadline: January 10th, 2020</p>
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Location: AAAI-20 - Hilton New York Midtown, New York, USA<span> </span></p>
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Date: February 8th, 2020 (All day)</p>
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<b>About:</b></p>
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Inaugural AAAI-20 Workshop on Artificial Intelligence in Team Sports. To be held at AAAI 2020 Conference in New York. Aiming to fuel discussion and share ideas about new research areas and topics.</p>
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Sports is a domain that has grown significantly over the last 20 years to become a key driver of many economies. According to a recent report,<span> <span> </span></span>the estimated size of the global sports industry is $1.3 trillion, and has an audience
of over 1 billion. As the market has grown so has the amount of data that is collected. This means that there are a number of challenging problems in sports to predict and optimise performance but, so far, such problems have largely been dealt with by domain
experts (e.g., coaches, managers, scouts, and sports health experts) with basic analytics.</p>
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The growing availability of datasets in sports presents a unique opportunity for the artificial intelligence (AI) and machine learning (ML) communities to develop, validate, and apply new techniques in the real world. In team sports, real-world data is available
over long periods of time, about the same individuals and teams, in a variety of environmental contexts, thereby creating a unique live test-bed for AI and ML techniques.<span> <span> </span></span>While research in AI for team sports has grown over the last
20 years, it is as yet unclear how they relate to each other or build upon each other as they tend to either focus on specific types of team sports or specific prediction and optimisation problems that are but one part of the whole field. Hence, this workshop
will help fuel discussions in the area and bring together the AI and sports analytics communities to encourage new research that will benefit both communities and industry.</p>
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<b>Presentations:</b></p>
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We have confirmed keynote speakers of Laurie Shaw from Harvard presenting a talk titled “Dynamic analysis of team strategy in professional soccer” and Patrick Lucey from STATSPerform presenting a talk titled “Interactive Sports Analytics”. There will be a panel
session for Q&A.</p>
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We have 7 research paper presentations focusing on sports such as football, basketball, ice-hockey and curling. We also have poster session running at the breaks.<span> </span></p>
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