Research Areas

• Analytic Research

  The project's analytic research activities focus on the ways in which network models can be used to understand one or more aspects of one or more sports. These activities involve the formulation of hypotheses, the development of models that can be used to study those hypotheses, and the use of data to confirm or deny the hypotheses. The analytic research activities are the motivation for all of the project's other research activities.

• Algorithmic Research

  The project's algorithmic research activities focus on graph-theoretic/network-modeling algorithms for sports analytics. Most of these activities involve the ways in which existing algorithms can/should be changed to account for the specific properties of the problem domain (e.g., the differences between the algorithms needed in transportation analytics and sports analytics). Some of these activities are theoretical and some are empirical.

• Visualization Research

  The project's visualization research activities focus on the ways in which visualization tools can be used to improve understanding. Some of these activities are concerned with how visualization can help researchers improve their understanding of the algorithms being used/developed, some are concerned with how visualization can help researchers improve their understanding of the data and analytic models, and some are concerned with how visualization can help players, coaches and fans improve their understanding of the sport.