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SCADE is a visual text analytic tool. The goal of the project is to help analysts make sense of a larger number of text document while tracking the analyst's provenance.

Today the public has become increasingly aware of the health impacts of a sedentary lifestyle. Sedentary behavior research continues to uncover the detrimental effects of sitting and has shown that the average American now sits during the day more than the time they spend sleeping. Activity trackers have reflected this shift in public awareness by beginning to track standing as well as the typical health metrics, like steps. The most prominent example of this is the Apple Watch with its Activity rings - the last ring is for stand hours.

As robots become more commonplace, they will need to address a wide variety of problems. Since a robot cannot be programmed to complete every task, it is necessary for robots to learn new tasks by interacting with a human teacher. Current methods require that the robot receive many demonstrations of a task, or they are limited to completing tasks which are nearly identical to previous demonstrations. We are developing a cognitive system based on case-based analogical learning that may enable a robot to collaborate with a human teacher to transfer task knowledge to a range of target problems.