talks

Data source: https://csvconf.com/

0 rows where abstract = "As we are becoming more and more digitized%2C we are creating and collecting more personal data than ever before%2C offering unprecedented chances for research. This potential wealth of data for research comes practical problems such as%3A How to merge data streams%3F And how can people responsibly share their personal information%3F 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%2C we will also see how we can scale up personal data exploration from the n-of-one to an n-of-many-ones%2C using a JupyterHub setup built right into a community science platform." sorted by image descending

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CREATE TABLE [talks] (
   [title] TEXT,
   [speaker] TEXT,
   [time] TEXT,
   [day] TEXT,
   [room] TEXT,
   [url] TEXT,
   [datetime] TEXT,
   [abstract] TEXT,
   [image] TEXT
)