EDCC 2021 Workshop: DREAMS

Dynamic Risk managEment for AutonoMous Systems

The DREAMS Workshop will be collocated with the
17th European Dependable Computing Conference (EDCC 2021)
to be held in Munich, Germany, on 13-16 September 2021.  

 

More information about the EDCC 2021:

http://edcc.dependability.org/

Welcome and greetings of the organiser

»I initiated and organized the DREAMS Workshop because we have been doing research on the topic of “dynamic risk management” for a long time already and because it has become more and more important in recent years. It is being increasingly discussed in different application domains in research, practice, and standardization. I consider it a core element for mastering the risks of critical autonomous systems.

With the DREAMS Workshop, I wanted to bring together different groups to create synergies and establish a shared understanding, starting with the undefined term “dynamic risk management”.

I am looking forward to getting feedback about the workshop and to hearing from anyone who might want to get involved in assisting with a potential future event.«  

Dr. Rasmus Adler

Autonomous systems (AS) have enormous potential and are bound to be a major driver in future economic and societal transformations. Their key trait is that they pursue and achieve their more or less explicitly defined goals independently and without human guidance or intervention. In contexts where safety or other critical properties need to be guaranteed, it is, however, hardly possible at present to exploit autonomous systems to their full potential. Unknowns and uncertainties are induced due to high complexity of the autonomous behaviors, the utilized technology, and the volatile and highly complex system context in which AS operate. These characteristics render the base assumptions of established assurance methodologies (and standards) insufficient and make it necessary to investigate new approaches at runtime/operation.

One promising approach for building dependable autonomous systems is to design such systems with the capability to identify, assess, and control risks. Implementing such Dynamic Risk Management (DRM) entails many challenges concerning the necessary self-awareness and context awareness. On the one hand, powerful and thus complex self-awareness and context awareness are necessary to minimize risks, resolve conflicting objectives, and make acceptable trade-off decisions. On the other hand, the complexity of the models hinders the assurance of critical properties and prevents gaining sufficient confidence in DRM. DRM has the potential to not only enable certain types of systems or applications outright, but also to significantly increase the performance of already existing ones. This is due to the fact that by resolving unknowns and dealing with uncertainties at runtime, it will be possible to get rid of worst-case assumptions that are typically detrimental to a system’s performance properties.

The DREAMS workshop intends to explore concepts and techniques for realizing DRM. It invites experts, researchers, and practitioners to give presentations and take part in in-depth discussions about prediction models for risk identification, integration between strategic, tactical, and operational risk management, architectures for dynamic risk management, and Validation&Verification of dynamic risk management.

DREAMS aims at bringing together communities from diverse disciplines, such as safety engineering, runtime adaptation, system reconfiguration, predictive modeling, and control theory, and from different application domains such as automotive, healthcare, manufacturing, agriculture, and critical infrastructures.

Topics of interest include, but are not limited to:

  • DRM concepts and methods (e.g., methods for deriving suitable risk metrics)
  • DRM architectures
  • Layered DRM approaches combining different scopes (e.g., combining DRM at the trajectory planning level and at the maneuver planning level)
  • Collaborative DRM performed by groups of cyber-physical systems
  • AI-based DRM and trustworthiness considerations
  • DRM classifications and taxonomies
  • Case studies 

 

Abstract registration: 29 May 2021 
Workshop paper submission deadline: 5 June 2021
Acceptance notification to authors: 29 June 2021
Camera ready deadline: 5 July 2021

The proceedings will be published to Springer Communications in Computer and Information Science (CCIS) series.

Authors should consult Springer's authors' guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers.Springer encourages authors to include their ORCIDs in their papers.

In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made.

Moreover, all submissions should describe, in English, original work that has not been published or submitted for publication elsewhere.
All submissions will be peer-reviewed by at least three members of the program committee.

They will be evaluated based on originality, contribution to the field, technical and presentation quality, and relevance to the workshop.

Please consider the following page limits:

  • Regular technical papers describing original theoretical or practical work (6-8 pages)
  • Case studies describing practitioner experience or field studies (8-12 pages)   
  • PhD Forum papers describing objectives, methodology, and results at an early stage of research (6-8 pages)
  • Position papers on challenges and emerging trends (3-4 pages)   

 

PDF versions of papers should be submitted electronically via EasyChair at https://easychair.org/conferences/?conf=dreams2021

Organizers

  • Rasmus Adler (Fraunhofer IESE, Germany)
  • Daniel Schneider (Fraunhofer IESE, Germany)
  • Philipp Schleiß (Fraunhofer IKS, Germany)
  • Simon Burton (Fraunhofer IKS, Germany)
  • Selma Saidi (TU Dortmund, Germany)

Program Committee

  • Huascar Espinoza (CEA, France)
  • Patrik Feth (Sick AG, Germany)
  • Ibrahim Habli (Univeristy of York, UK)
  • Richard Hawkins (Univeristy of York, UK)
  • Ayhan Mehmed (TTTech Auto AG, Austria)
  • Fabian Oboril (Intel, Germany)
  • Yiannis Papadopoulos Koopmann (University of Hull, UK)
  • Gordon Blair (Lancaster University, UK) 
  • Ganesh Pai (NASA,KBR, USA)
  • Phil Kopmann (Carnegie Mellon University, USA)
  • Eric Armengaud (Armengaud Innovate GmbH, Austria)
  • Roman Gansch (Robert Bosch GmbH, Germany) 
  • Erwin Schoitsch (AIT Austrian Institute of Technology GmbH)

Review DREAMS Workshop 2020

Videos and Recordings of the talks at the DREAMS Workshop

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Keynote "A Safety Case plus SPIs Metric Approach for Self-Driving Car Safety" Prof. Philip Koopman at EDCC 2020

This keynote talk given by Philip Koopman puts Dynamic Risk Management into the big picture of safety assurance for self-driving vehicles. It focuses on the safety case and on monitoring its validity by means of Safety Performance Indicator.  DRM relates to the “runtime safety monitor” on slide 14 (minute 27).

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External Talk: "Mathematical Risk Model for Assuring Functional Safety in Autonomous Vehicles" (Michael Woon at EDCC 2020)

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External Talk: "Smart Safety – Safe detection of new hazards" (Dr. Detlev Richter at EDCC 2020)

This keynote talk by Detlev Richter from TüV Süd discusses Dynamic Risk Management in the context of smart manufacturing. It highlights the need for Dynamic Risk Management and provides a clear vision for its realization.
The working group for AI in smart manufacturing (of which Detlev Richter and Dr. Rasmus Adler are members) agreed on the need for DRM and a related recommended action was formulated in the upcoming German standardization roadmap for AI.  

 


The safety-administration shells (green boxes at minute 16:30) relate to
Digital Dependability Identities and their instantiation for functions/components/systems in the production domain like in
this success story with Sick AG. This can enable automated risk reasoning in an IT-backbone (see
https://www.basys40.de/ and  https://www.fab-os.org/).

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External Talk: "Concepts of Dynamic Assurance for Trusted Autonomy" (Ganesh Pai at EDCC 2020)

That invited talk from Pai Ganesh provides an overview of dynamic assurance concepts, and an example of how these concepts can be implemented in aviation. It also refers to several research papers for further reading.

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External Talk: "Safety Cases for Adaptive Systems of Systems: State of the Art & Current Challenges" (Elham Mirzaei, Carsten Thomas, Mirko Conrad at EDCC 2020)

That paper presentation by Elham Mirzaei focuses on dynamic safety cases. The approach is strongly related to our research given by Conditional Safety Certificates (ConSerts) and Digital Dependability Identities.

Dynamic safety cases enable runtime reasoning about the safety of systems/components that are dynamically composed at runtime. It is also the basis for making a composition aware of the current risk as it enables safe shared perception.

 

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External Talk: "Enforcing Geofences for Managing Automated Transportation Risks in Production Sites" (Faiz Ui Muram at EDCC 2020)

That paper presentation by Faiz Ui Muram presents a simulation-based approach for identifying hazards during verification and validation to gain higher confidence in production side safety. The simulation is done at design-time (during V&V) but the fundamental idea is closely related to runtime-assurance. Furthermore, the paper contributes to the topic of continuous (safety) engineering.