O’Leary, Daniel E. at Intelligent Systems, IEEE : “The goals of big data and privacy are fundamentally opposed to each other. Big data and knowledge discovery are aimed reducing information asymmetries between organizations and the data sources, whereas privacy is aimed at maintaining information asymmetries of data sources. A number of different definitions of privacy are used to investigate some of the tensions between different characteristics of big data and potential privacy concerns. Specifically, the author examines the consequences of unevenness in big data, digital data going from local controlled settings to uncontrolled global settings, privacy effects of reputation monitoring systems, and inferring knowledge from social media. In addition, the author briefly analyzes two other emerging sources of big data: police cameras and stingray for location information….(More)”
How to contribute:
Did you come across – or create – a compelling project/report/book/app at the leading edge of innovation in governance?
Share it with us at info@thelivinglib.org so that we can add it to the Collection!
About the Curator
Get the latest news right in your inbox
Subscribe to curated findings and actionable knowledge from The Living Library, delivered to your inbox every Friday
Related articles
DATA
Smart City
Smart as a City: The Politics of Test-Bed Urbanism
Posted in May 4, 2026 by Stefaan Verhulst
DATA
Data Collaboratives
Open Data
Non-Traditional Data in Pandemic Preparedness and Response: Identifying and Addressing First- and Last-Mile Challenges
Posted in May 4, 2026 by Stefaan Verhulst
Artificial Intelligence
DATA
Relational futures: Indigenous sovereignty and the governance of artificial intelligence (AI)
Posted in May 3, 2026 by Stefaan Verhulst