The emergence of pervasive and ubiquitous technologies together with social media has resulted in unprecedented opportunities to reason about the complexity of our society based on magnitudes of data. Embedded ICT technologies mandate the functionality and operations of several techno-socio-economic systems such as traffic systems, transportation systems, Smart Grids, power/gas/water networks, etc. It is estimated that over 50 billion connected smart devices will be online by the year 2020. Moreover, social media provide invaluable insights about the complexity of our social interactions and how these interactions influence the sustainability of several ICT-enabled techno-socio-economic systems. These observations show that regulating online the complex systems of our nowadays digital society is a grant challenge. Regulating concerns trade-offs such as the alignment of technical requirements, e.g. robustness, fault-tolerance, safety and security, with social or environmental requirements, for instance, fairness in the utilization of energy resources. The scale of nowadays data cannot tackle the challenge by itself as data may convey ungrounded correlations and biased predictions. Smart self-regulating mechanisms are required that can filter data streams and transform data to valuable information based on which intelligent real-time decisions can be made in a decentralized fashion under a plethora of operational scenarios. The aim of the International Workshop on Data-driven Self-regulating Systems is to foster interactions between researchers of different disciplines working on challenges about the self-regulation of techno-socio-economic systems. It also aims to promote communication and exchange of ideas between academia and industry.