The emergence of pervasive, ubiquitous and artificial intelligence driven technologies has resulted in unprecedented opportunities for the future development of techno-socio-economic systems but also highlights risks and dilemmas related to human autonomy, delegation, privacy, etc. Embedded ICT technologies range from real time monitoring and assisting systems for human well-being to systems that mandate the functionality and operations of traffic infrastructure, transportation systems, smart grids, power/gas/water networks, etc. It is estimated that over 50 billion connected smart devices will be on-line by the year 2020. These autonomous smart devices powered by ever improving machine learning techniques and interacting with human users and other devices add to the complexity of our techno-socio-economic systems. It is evident that regulating these interacting complex systems of nowadays digital society is a grand challenge. Regulation needs to consider 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. Smart, autonomic and self-regulating mechanisms need to be developed for filtering and reasoning about data streams in real-time and transform them to valuable information based on which intelligent adaptive decisions can be made in a decentralized fashion under a plethora of operational scenarios.
The aim of the 4th International Workshop on Data-driven Self-regulating Systems is to foster interactions between researchers of different disciplines working on challenges about the self-organization and self-adaptation of complex techno-socio-economic systems. It also aims to promote communication and exchange of ideas between academia and industry. The workshop will run for a full day and will include (i) one or more keynote speakers, (ii) presentation of papers, (iii) software artifacts session and (iv) potentially a panel discussion. Panelist may include distinguished researchers who participate in the international research hubs of several large significant projects such as Nervousnet1, VW Stiftung planning project ”AI for well-being”, SoBigData2, ASSET, etc.
- Leonel Aguilar, ETH Zurich, CH
- Ver Bilano, Imperial College London, UK
- Evangelos Pournaras, ETH Zürich, CH