Dear ACSOS Community,
We are happy to announce and share the first edition of the ACSOS Community Newsletter. This newsletter is dedicated to regularly sharing news, updates on the upcoming conference, ideas, challenges, and collaboration opportunities in the ACSOS community.

You, as part of the ACSOS community, are invited to submit content for the ACSOS Newsletter via the ACSOS Discord server (https://discord.gg/XpGQhQMF3D). The newsletter editorial team will collect submissions and share them regularly across our platforms (see https://linktr.ee/acsosconf for our channels).

Best wishes and enjoy reading!
The ACSOS 2026 Community Building Chairs


🔜 Conference News: ACSOS 2026 Call for Papers published

The ACSOS 2026 Call for Papers was recently published.

The IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2026) invites submissions advancing the state of the art in autonomic computing, self-adaptation, self-organization, and multi-agent systems.
ACSOS is a premier interdisciplinary venue bringing together researchers and practitioners from academia and industry, with strong links to complex systems, modern computer systems, and AI.

You can find the complete CfP, including submission instructions, detailed information, and submission link here: https://2026.acsos.org/track/acsos-2026-papers
Important dates:

  • Abstract registration: April 10, 2026
  • Paper submission: April 17, 2026
  • Notification: June 15, 2026
  • Camera-ready: July 20, 2026

Looking for collaborations or want to get in contact with the chairs? Join the discussion on Discord: https://discord.com/channels/1162311213162704916/1466412401606791280


đź“… ACSOS Speaker Seminar Series: Dr. Peter Lewis at The Ohio State University

On April 2, 2026, we concluded the first session in our ACSOS Seminar Series, hosted by the Translational Data Analytics Institute on The Ohio State University Campus.

We were delighted to kick off the series with Peter Lewis, who delivered an engaging talk on Reflective Social Intelligence for Autonomous Agents. The session highlighted the importance of explicitly modeling social phenomena, concepts, and emergent dynamics within autonomous systems, such that said systems may become aware and act intentionally because of said knowledge.

Thank you to everyone who joined us and contributed to such a lively and insightful event. This is just the beginning—stay tuned as we prepare to announce upcoming talks in the seminar series. We look forward to seeing you at future events!

If you are interested in the event or want to get in touch with the organizers, join the discussion on Discord: https://discord.com/channels/1162311213162704916/1483537512956690442


🏆 The FoMaSE project on “Macro(scopic)-programming”: 5y ahead for research on the micro-macro link

Roberto Casadei, assistant prof at the University of Bologna (Italy), received a project funding for his project FoMaSE (Foundations for Macro-programming-based Software Engineering), which was recently granted the Italian Science Fund (FIS) Starting Grant for 1.1M€. The project is starting in May 2026 and has a duration of 5 years (i.e., it will be carried out from 2026 to 2031).

In a nutshell, the project covers software engineering techniques for addressing the micro-macro link and hence promote the emergence of Artificial Collective Intelligence (ACI). It primarily adopts programming language-based methods and macro-to-micro design techniques (where the designer provides a global or macroscopic specification of system behaviour, structure, goals, etc.); however, it also aims to investigate hybrid methods, i.e., involving artificial intelligence methods (e.g., MARL, GenAI). By a literature perspective, it is somewhat at the intersection of self-* (incl. self-organisation and collective adaptive systems), multi-agent systems, coordination, the interdisciplinary study of collective intelligence, and software engineering.

If you’re interested in how the project contributes to the ACSOS community, are interested in collaboration opportunities, or want to get information regarding open positions, join the discussion on Discord: https://discord.com/channels/1162311213162704916/1476489515374870633


đź“° FieldVMC: From ACSOS 2024 to Complex and Intelligent Systems

New publication from Angela Cortecchia, Giovanni Ciatto, Roberto Casadei, and Danilo Pianini published in the Q1 journal Complex and Intelligent Systems. The paper is titled “FieldVMC: an asynchronous model and platform for self-organising morphogenesis of artificial structures” (link to the publication: https://link.springer.com/article/10.1007/s40747-025-02141-y). It is a follow-up and extension of our preliminary work that was accepted at ACSOS 2024.

FieldVMC reformulates the Vascular Morphogenesis Controller as a field-based, self-stabilising aggregate computation, enabling asynchronous and decentralised morphogenesis over arbitrary network topologies.
This reformulation preserves the behavioural semantics of VMC while lifting its structural and executional constraints, turning it into a scalable, reusable, and extensible coordination mechanism for engineering adaptive self-organising systems.

If you have ideas for potential use cases, or suggestions on how this approach could be extended or improved, join the discussion on Discord: https://discord.com/channels/1162311213162704916/1469255934965714996


đź“° Self-Federated Learning: from ACSOS24 to Elsevier Internet of Things

New publication from Davide Domini, Nicolas Farabegoli, Gianluca Aguzzi, Mirko Viroli, and Lukas Esterle published in the Internet of Things. The article is titled “Decentralized Proximity-Aware Clustering for Collective Self-Federated Learning” (link to the publication: https://www.sciencedirect.com/science/article/pii/S2542660525003555). It is a follow-up and extension of our preliminary work that was accepted at ACSOS 2024.

In this work, we introduce Proximity-Aware Self-Federated Learning (PSFL) — a fully decentralized approach that enables IoT devices to self-organize into federations based on both spatial proximity and model similarity. By leveraging aggregate computing and self-organizing coordination regions, PSFL allows devices to form federations without a central server, adapt to non-IID data distributions, and remain robust under node mobility and aggregator failures. Our results show that proximity-aware decentralized clustering can effectively handle heterogeneous data, achieving strong performance without requiring the number of clusters to be known in advance.

If you have potential applications in collective adaptive systems and large-scale IoT environments, join the discussion on Discord: https://discord.com/channels/1162311213162704916/1476586041652547708


You want to share your news with the ACSOS community? Submit content for the ACSOS Newsletter via the ACSOS Discord server (https://discord.gg/XpGQhQMF3D)!

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