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The 4th International Workshop on
Data-driven Self-regulating Systems (DSS 2018)

3-7 September 2018, Trento, Italy

In conjuction with 15th IEEE International Conference on Autonomic Computing (ICAC 2018) and the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018)


  • Keynote will be given by Prof. Dr.-Ing. Wolfgang Maaß from the German Research Center for Artificial Intelligence (DFKI)
  • Final Program announced.
  • Paper submission extended to: 3rd of July, 2018!

    Sponsored by:

    DSS 2018 will be held in conjunction with the 15th IEEE International Conference on Autonomic Computing (ICAC 2018) and the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2018).

    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 management 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 Nervousnet, VW Stiftung planning project "AI for well-being", SoBigData, ASSET, etc.


    Topics and application domains may include (but not limited to) the following:

    • artificial intelligence & machine learning
    • self-regulation
    • autonomic computing
    • Internet of Things
    • pervasive/ubiquitous computing
    • big data analytics
    • cloud computing
    • distributed systems
    • multi-agent systems
    • self-organization
    • adaptive mechanisms
    • complex systems & (social) networks
    • mechanism design & game theory
    • intelligent health management
    • smart grids
    • power/gas/water networks
    • transportation/traffic systems
    • ambient-assisted living
    • social media/networks
    • mobile applications
    • disease spreading
    • evacuation planning

    Workshop Chairs

    Program Committee

    Wolfgang Maass, German Research Centre for Artificial Intelligence, Germany

    Pradeep Ravikumar, Carnegie Mellon University, USA

    Julia Pueschel, Free University of Berlin, Germany

    Christian Djeffal, Humboldt Institute for Internet and Society, Germany

    Sabine Janzen, German Research Centre for Artificial Intelligence, Germany

    Giulio Rossetti, KDD Lab ISTI-CNR

    Stef Janssen, Delft University of Technology

    Fragkiskos Malliaros, University of California San Diego

    Luca Pappalardo, Department of Computer Science (University of Pisa), KDDLab (ISTI-CNR)

    Salvatore Ruggieri, Dipartimento di Informatica, Università di Pisa

    Florin Pop, University Politehnica of Bucharest, Romania

    Josef Spillner, Zurich University of Applied Sciences

    Johannes Klinglmayr, Linz Center of Mechantronics GmbH

    Catalin Leordeanu, University Politehnica of Bucharest

    Spyros Voulgaris, Vrije Universiteit Amsterdam

    Takuto Sakamoto, The University of Tokyo

    Alexandra Carpen-Amarie, Vienna University of Technology

    Important Dates

    • Submission Deadline: July 3, 2018(EXTENDED)
    • Submission Deadline: June 20, 2018
    • Authors Notification: July 9, 2018
    • Final Manuscript Due: July 15, 2018

    Submission Instructions

    You are invited to submit original and unpublished research works on above and other topics related to self-regulating systems. Submitted papers must not have been published or simultaneously submitted elsewhere. Please, indicate clearly the corresponding authors and include up to 6 keywords and an abstract of no more than 400 words. Submissions have to be formatted according to the IEEE Computer Society Press proceedings style guide and not exceeding 6 two-column pages. Papers are submitted as PDF files via the Easychair. Each paper will receive a minimum of three reviews. Papers will be selected based on their originality, relevance, contributions, technical clarity and presentation. Authors of accepted papers must guarantee that their papers will be registered and presented at the workshop. Workshop proceedings will be published in IEEE Computer Society’s Conference Publishing Services.

    Authors of distinguished workshop papers may be invited to extend their workshop papers for their possible publication in a special issue of an international journal.

    Keynote Speaker

    Architectures for processing IoT data with AI technologies

    Prof. Dr.-Ing. Wolfgang Maaß
    Scientific director at the German Research Center for Artificial Intelligence (DFKI)

    Internet of Things (IoT) applications are intrinsically distributed while cloud platforms mainly follow centralized approaches. Similarly, architectures for Artificial Intelligence (AI) systems adopt centralized approaches while agent-based systems are often simulated by leveraging decentralized architectural patterns. General characteristics of this design space for system architectures are discussed and exemplified by a distributed architecture for processing IoT data with AI technologies.

    Prof Maass Prof. Wolfgang Maaß is professor in Business Informatics at Saarland University, scientific director at Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI), and adjunct professor Stony Brook University Health Sciences Center School of Medicine, NY.

    He is Professor of Business Administration, especially Business Informatics in Service Management, Professor of Computer Science (co-opted) at Saarland University, Scientific Director of the German Research Center for Artificial Intelligence (DFKI) and Associate Professor of Biomedical Informatics at Stony Brook University, NY. He studied computer science at the RWTH Aachen, as well as at Saarland University. His PhD in computer science was funded by a DFG scholarship from the graduate college "Cognitive Science". He was a post-doc at the Institute of Technology Management (ITEM), as well as at the Institute for Media and Communications Management (MCM) at the University of St. Gallen (HSG), Switzerland, where he also obtained his habilitation. Previously, he was a Lecturer at HSG and Professor of Media Informatics at the Hochschule Furtwangen (HFU). He was a visiting professor at the Department of Bioinformatics & Computational Biology at the University of Texas (M.D. Anderson Cancer Center, 2009), and at the Department of Biomedical Informatics at the University of Health Sciences Center School of Medicine, Stony Brook, NY (2016). In his research, he investigates the transformation of the industrial sector using artificial intelligence applications.

    Final Program

    The workshop takes place on 03.09.2017 during the morning session: 09:40-12:00. The venue infromation is available here.

    09:40-09:45: Introduction
    Ver Bilano

    09:45-10:30: Keynote: Architectures for processing IoT data with AI technologies
    Wolfgang Maaß

    10:30-11:00: Break

    11:00-11:20: Paper 1: Identifying Changed or Sick Resources from Logs
    Ashot Harutyunyan

    11:20-11:40: Paper 2: Visions and Challenges in Managing and Preserving Data to Measure Quality of Life
    Vero Estrada-Galinanes

    11:40-12:00: Paper 3: A Tool for Online Experiment-Driven Adaptation
    Ilias Gerostathopoulos