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This workshop is for researchers in Statistics / Data Science who invent methods for tackling complex data. The foundation is Object Oriented Data Analysis, which is a framework for approaching complex data in a principled and interdisciplinary way that is focused on actual analysis. A key concept is data objects, a generalization of the classical vectors as experimental units. This is based on the fundamental observation that collaborative discussion of the question “what should be the data objects?” provides a fundamental approach to getting a handle on a complex interdisciplinary data analysis challenge. Motivating data challenges come from the health sciences, and methodologies span many mathematical areas including analysis, probability, geometry and topology.
This workshop will include a poster session. In order to propose a poster, you must first register for the workshop, and then submit a poster proposal using the form that will become available on this page after you register. The registration form should not be used to propose a poster. The deadline for proposing a poster is June 20, 2023.