Call for Workshops

The workshops at ACSOS 2025 provide a forum for groups of 20-50 participants to present and discuss novel research ideas on autonomic computing, self-adaptive, and self-organizing systems. Workshops can be organized around emerging research areas, challenging problems, and industrial applications.

Important Dates

Workshop proposal submission deadline:  April 7th, 2025
Workshop acceptance notification:  April 16th, 2025
Workshop call for papers online:  April 29th, 2025

Workshop Proposals

Proposals for workshops should be organized as a preliminary call for papers or call for participation, depending on the intended format of the workshop, with a maximum of two pages and contain the following information:

• Title of the workshop.
• A brief technical description of the workshop, specifying the workshop goals, the technical issues that it will address, and the relevance of the workshop to the main conference.
• The names, affiliations, phone numbers, and email addresses of the proposed workshop organizing committee. We strongly encourage the organizing committee to consist of at least two people coming from multiple institutions knowledgeable about the technical issues to be addressed.
• The primary email address(es) for contacting the organizing committee of the workshop.
• Expected duration of the workshop (half or full day).
• A brief description of the workshop format.
• The workshop deadlines, both internal and external, aligned with the ACSOS timeline.
• Description of the paper review process and acceptance standards in order to keep the workshop high in quality. Accepted workshop papers will be published in the proceedings. Papers must thus be in the same format as the conference proceedings and may not be more than 6 pages in length. Workshop organizers must ensure that suitable quality measures have been taken. All papers must be reviewed by an international technical program committee with a minimum of 3 reviews per paper.
• List of potential program committee members, including their titles and affiliations.
• List of potential invited speakers, panelists, or disputants.

Please also provide the following information (not restricted to the two pages for the above proposal):

• Information about previous offerings of the proposed workshop: when and where it has been offered in the past, names and affiliations of organizers, number of submissions, acceptances, and number of registered and present attendees. Note: This is for workshops that are in their second edition or later.
• Expected number of submissions, accepted papers, and attendees (for all workshops).

For new workshops, which would be in the first edition if accepted, please also provide the following (not restricted to the two pages for the above proposal):

• List of researchers/practitioners who would be likely to submit a paper to the workshop.

Workshop proposals should be submitted as a PDF via easy chair : https://easychair.org/conferences/?conf=acsos2025 For any questions on workshop proposals, authors can contact workshop chairs by email: elsy.kaddoum@irit.fr and schmerl@cs.cmu.edu

The 6th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2025) will be accompanied by the following workshops:

• 12th Workshop on Self-Improving Systems Integration (SISSY)

• 3rd International Workshop on Sustainable and Scalable Self-Organisation (SaSSO-3)

• 3rd International Workshop on Artificial Intelligence for Autonomous computing Systems (AI4AS)

• 1st International Workshop on Digital Twin-enabled Autonomous Systems and Agents (DAT)

Summaries:

12th Workshop on Self-Improving Systems Integration (SISSY)

Information and communication technology (ICT) pervades every aspect of our daily lives. This changes our communities and all of our human interactions. It also presents a significant set of challenges in correctly designing and integrating our resulting technical systems. For instance, the embedding of ICT functionality in more and more devices (such as household appliances or thermostats) leads to novel interconnections and a changing structure of the overall system. Not only are technical systems increasingly coupled, but also numerous previously isolated natural and human systems have merged into a kind of overall system-of-systems – an interwoven system structure. This change of structure is fundamental and affects the whole production cycle of technical systems; standard system integration and testing is not feasible any more. The increasingly complex challenges of developing the right type of modelling, analysis, and infrastructure for designing and maintaining ICT infrastructures has continued to motivate the self-organising, autonomic and organic computing systems community. Integration is more than just putting things together. Consequently, this workshop intends to study novel approaches to system-of-systems integration, maintenance and testing by applying self-* principles. Specifically, we seek approaches that allow for a continual process of self-integration among components and systems that are self-improving and evolving over time towards an optimised and stable solution. The workshop intends to focus on the important work of applying self‐* principles to the integration of “Interwoven Systems” (where an “Interwoven System” is a system cutting across several technical domains, combining traditionally engineered systems, systems making use of self‐* properties and methods, and human systems). The goal of the workshop is to identify key challenges involved in creating self‐integrating systems and consider methods to achieve continuous self‐improvement for this integration process. The workshop specifically targets an interdisciplinary community of researchers (i.e. from systems engineering, complex adaptive systems, socio‐technical systems, and the OC/AC domains) in the hope that collective expertise from a range of domains can be leveraged to drive forward research in this area.

Workshop organizers:

• Kirstie Bellman
• Ada Diaconescu
• Lukas Esterle
• Sven Tomforde

More information can be found on the workshop’s website: https://sissy-workshop.github.io/

3rd International Workshop on Sustainable and Scalable Self-Organisation (SaSSO-3)

The goal of this inter-disciplinary workshop is to address two contrasting pairs of inter-related research questions: firstly, the sustainability of self-organisation, given the features of path dependency (where prior decisions significantly constrain present choices); the iron law of oligarchy which identifies the tendency of self-organisation to slide into oligarchy; and the avoidance of tyranny at the core of Ober’s Basic Democracy; secondly, and conversely, self-organisation for sustainability, building on the pioneering work of Ostrom’s self-governing institutions for common-pool resource management, but also considering self-sustainability, e.g. in the form of cooperative survival dilemmas; thirdly, scalability of self-organisation, for example as the number of components in a system changes over time, how structures and processes for decision-making, dispute resolution and monitoring are affected by such changes, even with new ‘generations’; and fourthly, and conversely, self-organisation for scalability, both for pro-active management of anticipated growth or contraction, but also how the values or incentives implied by self-organised rules change over time (the rule-based equivalent of concept drift). SaSSO workshop explores inter-organizational self-organization to address sustainability and scalability challenges. Domains like healthcare, transportation, and food systems are highlighted as complex, interdependent systems requiring multi-stakeholder coordination. In this context, it warrants a re-consideration, integration and re-vitalisation of several ideas such as self-organisation, self-governance, sustainability, and multi-scale systems thinking.

Workshop organizers:

• Aishwaryaprajna
• Stefan Sarkadi
• Gary Linnéusson

More information can be found on the workshop’s website: https://cosocials.org/sasso-2025/#program

3rd International Workshop on Artificial Intelligence for Autonomous computing Systems (AI4AS)

Modern computing systems are characterized by increasing heterogeneity and operate on larger and larger scales. Their complexity is hardly manageable by a human being, especially when it comes to taking timely decisions in highly dynamic environments or to guarantee strict Quality-of-Service requirements. With the rapid evolution of AI and ML techniques - including generative AI, agentic AI, and edge intelligence - new opportunities have emerged for designing more robust, sustainable, and secure computing systems. AI and ML techniques are increasingly adopted to assist or guide system self-adaptation, as they are used, e.g., to extract relevant information from highly dimensional and noisy monitoring data, to predict internal or external dynamics, to automatically plan (and possibly activate) adaptation actions. However, there are still several challenges to face for researchers and practitioners aiming to take advantage of these methodologies and incorporate them in their systems. Fundamental issues towards the applicability of AI and ML techniques across diverse domains must be investigated, especially as regards the accuracy, robustness, explainability, safety, security, performance and sustainability of AI-driven autonomous computing systems. The aim of the workshop is to share new findings, exchange ideas and discuss research challenges on the following topics (not an exhaustive list): AI and ML techniques for self-* computing systems Architectures and frameworks for AI integration Sustainability aspects of AI-driven adaptation AI ethics, bias mitigation, and trustworthiness in self-adaptive systems Federated and multi-agent learning approaches for decentralized adaptation Robustness, explainability, safety, and security of AI-driven computing systems Integration of large language models (LLMs) and generative AI into autonomous computing systems Edge intelligence and distributed decision-making in autonomous systems Self-adaptation for AI/ML systems Case studies and real-world implementations of AI for autonomous computing systems

Workshop organizers:

• Valeria Cardellini
• Ilias Gerostathopoulos
• Stefano Iannucci
• Gabriele Russo Russo

More information can be found on the workshop’s website: https://ai4as.github.io

1st International Workshop on Digital Twin-enabled Autonomous Systems and Agents (DAT)

Digital Twins (DTs) have received considerable attention over the past years and have been applied in various applications. More recently, their potential has also been identified for autonomous systems, allowing systems to build and refine their model about themselves during runtime. This is particularly useful for systems operating in changing environments, able to learn about themselves. With this, DTs step out of individual and specialised industrial applications and into autonomous systems. However, a wide range of challenges needs to be solved to ensure the feasible utilisation of DTs in autonomous systems and agents. Digital Twins (DTs) offer great promise for enhancing autonomous systems and multi-agents, but several challenges must be addressed: Real-time Synchronisation: Ensuring timely, bi-directional updates between physical systems and their digital counterparts. Scalability: Managing state consistency, coordination, and efficient simulation across many autonomous agents. Runtime Adaptation & Learning: Enabling DTs to evolve during operation via online or continual learning Decision-Making Integration: Using DTs to simulate future outcomes and support planning or reasoning. Verification & Trust: Establishing correctness, safety, and transparency in DT driven decisions. Edge-Cloud Deployment: Distributing DTs across computing hierarchies with performance constraints. Heterogeneity & Interoperability: Integrating diverse components and promoting standardised models. The aim of the workshop is to share new findings, exchange ideas and discuss research addressing these challenges and providing novel solutions to enable autonomous systems using DTs.

Workshop organizers:

• Lukas Esterle
• Nelly Bencomo
• Marsha Chechik

More information can be found on the workshop’s website: https://dat-workshop.github.io/