Networks of Control
Data networks: Who are the players in today’s networks of digital tracking and personal data business? How do tech companies, data brokers, online data management platforms and many other businesses actually collect, collate, share and make use of personal information? How is information recorded by smartphones and other devices linked with customer records in companies?
Data network’s sources: Which kinds of information are recorded and shared by smartphones, fitness trackers, e-readers, smart TVs, connected thermostats and cars, and many other devices and platforms? Will the Internet of Things lead to ubiquitous surveillance of everyday life?
The scope of data networks: Where is information being used in other contexts or for other purposes than it was initially collected for? To what extent is today’s marketing data ecosystem merging with applications of risk management such as fraud prevention, identity verification, credit scoring, insurance analytics, background checks for employers and landlords, or even law enforcement?
How data networks observe the population: How is personal data analyzed in times of Big Data? What is inferred from purchases, calls, messages, website visits, app usage, web searches and likes? How can analytics be used to predict sensitive personal attributes and to judge personality? Where are methods of data mining and Big Data analytics used today in fields such as marketing, retail, insurance, banking, healthcare and work? To what extent are consumers profiled, categorized, rated and ranked by businesses?
How data networks exercise control: Do the fundamental principles of advertising that have been in effect for decades still hold? Or did advertising perhaps turn to something different through real-time targeting and personalization? How are people nudged and influenced using personalized content, rewards and other incentives based on digital tracking?
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