EAI ValueTools 2026 solicits original papers that propose new methodologies and tools for the performance evaluation and optimization of complex systems. It brings together researchers from different communities including Computer Science, Networks and Telecommunications, Operations Research, Optimization, Control Theory and Manufacturing.

EAI ValueTools 2026 welcomes regular submission papers describing novel results, as well as short papers on vision work, work-in-progress, and tools.

Methodological advances:

• Stochastic processes and models
• Queueing models and networks
• Discrete event simulation
• Game theory
• Machine learning and data analytics
• Federated processing
• Optimization and control theory
• Process algebras
• Markov decision processes
• Model checking, process algebras
• Complex networks
• Stochastic geometry

Application areas:

• Machine learning and artificial intelligence systems
• Data centers, distributed and cloud computing systems
• Edge and fog computing systems
• Telecommunication and computer networks
• Wireless networks
• Smart grids
• Social networks
• Manufacturing systems and supply chains
• Biological, economic, transportation, and healthcare systems

• Springer Mobile Networks and Applications (MONET) Journal (IF: 2.0)

• EAI Endorsed Transactions on Sustainable Manufacturing and Renewable Energy
• EAI Endorsed Transactions on Cloud Systems
• EAI Endorsed Transactions on Broadcasting Technologies

• EAI Endorsed Transactions on Internet of Things (Scopus)

• It must be an extended version of the conference paper with a different title and abstract. In general, 30% of new content must be added.
• The article will be processed once the conference proceedings have been published.
• The article will be processed using the fast-track option.
• Once the conference proceedings are published, the corresponding author should contact us at [email protected] with the details of their article to begin processing.

• EAI Transactions series (Open Access)
• EAI/Springer Innovations in Communications and Computing Book Series (titles in this series are indexed in Ei Compendex, Web of Science, Scopus)

Papers should be submitted through EasyChair and have to comply with the Springer format (see Author’s kit section).

• Full/ Regular papers should be 12-20 pages in length. (Excluding appendices, references, appreciation, etc.)

• Short papers should be 6-11 pages in length. (Excluding appendices, references, appreciation, etc.)

*Please note that additional pages will be subject to an extra charge for each extra page uploaded.

All conference papers undergo a thorough peer review process prior to the final decision and publication. This process is facilitated by experts in the Technical Program Committee during a dedicated conference period. Standard peer review is enhanced by EAI Community Review which allows EAI members to bid to review specific papers. All review assignments are ultimately decided by the responsible Technical Program Committee Members while the Technical Program Committee Chair is responsible for the final acceptance selection. You can learn more about Community Review here.

1. Go to EasyChair website
2. Log in or sign up as new user
3. Click the ‘enter as an author’ link and follow the instructions

• All papers must be submitted in English. 
• Previously published work cannot be submitted, nor can it be concurrently submitted to any other conference or journal. These papers will be rejected without review. 
• Papers must follow the Springer formatting guidelines (available in the Author’s Kit section). 
• Authors must read and agree to the Publication Ethics and Malpractice Statement.
• As per new EU accessibility requirements, going forward, all figures, illustrations, tables, and images should have descriptive text accompanying them. Please refer to the document below, which will assist you in crafting Alternative Text (Alt Text)

HOW TO WRITE GOOD ALT TEXT

Full information: https://www.springernature.com/gp/policies/book-publishing-policies

AI Authorship Policy

Large Language Models (LLMs), such as ChatGPT, do not currently satisfy our authorship criteria. Notably an attribution of authorship carries with it accountability for the work, which cannot be effectively applied to LLMs. We thus ask that the use of an LLM be properly documented in the Acknowledgements, or in the Introduction or Preface of the manuscript.

The use of an LLM (or other AI-tool) for “AI assisted copy editing” purposes does not need to be declared. In this context, we define the term “AI assisted copy editing” as AI-assisted improvements to human-generated texts for readability and style, and to ensure that the texts are free of errors in grammar, spelling, punctuation and tone. These AI-assisted improvements may include wording and formatting changes to the texts, but do not include generative editorial work and autonomous content creation. In all cases, there must be human accountability for the final version of the text and agreement from the authors that the edits reflect their original work. This reflects a similar stance taken on the AI generative figures policy, where it was acknowledged that there are cases where AI can be used to generate a figure without being concerned about copyright e.g. to generate a graph based on data provided by the author. 

AI Authorship Guidance

Authors should familiarise themselves with the current known risks of using AI models before using them in their manuscript. AI models have been known to plagiarise content and to create false content. As such, authors should carry out due diligence to ensure that any AI-generated content in their book is correct, appropriately referenced, and follow the standards as laid out in our Book Authors’ Code of Conduct.

AI-generated Images Policy

The fast-moving area of generative AI image creation has resulted in novel legal copyright and research integrity issues. As publishers, we strictly follow existing copyright law and best practices regarding publication ethics. While legal issues relating to AI-generated images and videos remain broadly unresolved, Springer Nature journals and books are unable to permit its use for publication.

Exceptions:

• Images/art obtained from agencies that we have contractual relationships with that have created images in a legally acceptable manner.
• Images and videos that are directly referenced in a piece that is specifically about AI and such cases will be reviewed on a case-by-case basis.
• The use of generative AI tools developed with specific sets of underlying scientific data that can be attributed, checked and verified for accuracy, provided that ethics, copyright and terms of use restrictions are adhered to.

• LaTeX2e Proceedings Templates (zip)
• Microsoft Word Proceedings Templates (zip)

• a PDF copy of your paper formatted according to the above templates, and
• an archive in .ZIP file, containing LaTeX or Word source material prepared according to the above guidelines.