Holders of data have long recognized a duty to human privacy and have therefore removed “personally identifiable information” (PII) prior to publishing a dataset or sharing it with another party. However, research and real-life situations have shown that what will be “identifiable” is difficult to predict. The implications may be far reaching in both the contexts of academic research data and of society generally. This presentation gives an overview of issues around data privacy and the proposed remedy of differential privacy. Time will be available for Q&A. 

Can't make it to this workshop? You can always contact us for help, stop by our Drop-In Hours, check out our instructional content, or schedule an instruction session for a class or group.

This workshop is part of our Dealing with Data Series.

Please check in with the presenter for your workshop or contact ULS-DigitalScholarshipServices@pitt.edu if you have any pre-event questions. All are welcome at online events!