Interactive Visual Analysis to Aid Data-informed Analytical Problem Solvin, Cagatay Turkay
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The rapidly expanding application of experimental high-throughput and high-resolution methods in many scientific and industrial domains is creating enormous challenges for analysts who aim to make data-informed observations and decisions. Data sets are often highly heterogeneous, multi-scalar, and have significant levels of uncertainty. Visual analysis methods and seamlessly integrated computational analysis tools offer powerful solutions to empower analysts in coping with these challenges. This talk will walk you through such integrated methodologies over a number of examples of collaborative research projects.