Interactions both online and in the emerging Internet of things (IoT) feature distributed
agents with local decision-making capabilities and misaligned incentives. This has …

The amount of personal information contributed by individuals to digital repositories such as
social network sites has grown substantially. The existence of this data offers unprecedented …

Data is the new oil; this refrain is repeated extensively in the age of internet tracking,
machine learning, and data analytics. As data collection becomes more personal and …

Data ecosystems are becoming larger and more complex, while privacy concerns are
threatening to erode their potential benefits. Recently, users have developed obfuscation …

The Internet has become an essential part of the citizens' life and of the economy. In this
online ecosystem, service providers collect large amounts of personal data about individuals …

Researchers propose and employ various methods to analyze, model, optimize and
manage modern distributed cloud applications. In order to demonstrate and evaluate these …

This dissertation presents four published articles in the field of data ethics that extend our
knowledge of fairness in machine learning and advance the state of the art of privacy in data …

As technological integration with society advances, the transformation from traditional
infrastructure to cyber-physical social systems (CPSS) becomes evident. The emergence of …

Internet tracking technologies and wearable electronics provide a vast amount of data to
machine learning algorithms. This stock of data stands to increase with the developments of …

We propose a non-monetary incentive mechanism to encourage high levels of contribution
in public good provision. Based on a generic public good game, we implement a variation …