3-7 September 2018, Trento, Italy
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:
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
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.
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. 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.
The workshop takes place on 03.09.2017 during the morning session: 09:40-12:00. The venue infromation is available here.
09:45-10:30: Keynote: Architectures for processing IoT data with AI technologies
11:00-11:20: Paper 1: Identifying Changed or Sick Resources from Logs
11:20-11:40: Paper 2: Visions and Challenges in Managing and Preserving Data to Measure Quality of Life
11:40-12:00: Paper 3: A Tool for Online Experiment-Driven Adaptation