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rowid title speaker abstract
14 The n-of-many-ones: Fueling Community Science with Personal Data Bastian Greshake Tzovaras As we are becoming more and more digitized, we are creating and collecting more personal data than ever before, offering unprecedented chances for research. This potential wealth of data for research comes practical problems such as: How to merge data streams? And how can people responsibly share their personal information? In this talk we will explore how to enable responsible personal data sharing by giving individuals granular sharing options and how this can enable community science. Furthermore, we will also see how we can scale up personal data exploration from the n-of-one to an n-of-many-ones, using a JupyterHub setup built right into a community science platform.
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