Call for Full Papers

CAiSE’26 Call for Papers

The CAiSE’26 organization calls for full papers with a special emphasis on the theme of Rethinking Information System Engineering in a continuously changing information system world.

Information Systems Engineering is currently facing the pressing need for a substantial revision of its theoretical, methodological, and operational foundations. Classical paradigms, developed in an era characterized by relatively stable requirements and well-defined system life cycles, are increasingly inadequate for managing the complexity, volatility, and interconnectedness of today’s digital ecosystems. The rise of pervasive technologies such as artificial intelligence, cloud and edge computing, cyber-physical systems, and the Internet of Things has radically transformed the nature of information systems, introducing new demands for adaptability, interoperability, maintainability, and sustainability.

This transformation calls for a deep redefinition of design practices, which must go beyond a narrow focus on functionality and efficiency to incorporate ethical, social, and organizational considerations. In particular, it is essential to transcend purely technical approaches and adopt a systemic and transdisciplinary perspective, where computer science, engineering, cognitive science, sociology, and organizational studies converge to define innovative models and tools. 

Therefore, the theme for this year’s CAiSE conference is Rethinking Information System Engineering in a continuously changing information system world.

We encourage submissions that consider information systems engineering (ISE) as a cohesive design involving multiple aspects across the life cycle of information systems across their design, development, deployment and operation. Submissions concerned with specific specializations are certainly welcome, but they must explicitly position their results within the broader context to engage researchers across different areas and avoid silo formation.

In addition to offering an exciting scientific program, CAiSE’26 will feature a best paper award, and a journal special issue:

  • Best Paper Award: prize EUR 1000 (sponsored by Springer)
  • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference.

Papers should be submitted as PDF, following Springer’s LNCS format, and should not exceed 14 pages, excluding the references, but including all text, figures, and appendices. Submissions not conforming to the LNCS format, the page limitations, or being obviously out of the scope of the conference, will be rejected without review. For Springer’s LNCS format, see the guidelines provided at:

Springer’s LNCS Format Guidelines

The results described in the submitted paper must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, a third review will be conducted by one additional program board member. The selected papers will be discussed among the paper reviewers online, as well as during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’26 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings.

Authors submitting their work to CAiSE’26 are encouraged to share their research widely to foster early feedback and collaboration – papers under review at CAiSE 2026 may be submitted to preprint servers such as arXiv or similar platforms.

 

Types of Scientific Papers

We invite three types of scientific papers: technical papers, empirical papers, and exploratory papers. The type of submission must be indicated in the submission system. Each contribution should explicitly identify the information systems engineering problem addressed, its expected real-world impact, and the research method used. Furthermore, as mentioned above, submissions concerned with specific specializations within the information systems engineering field are certainly welcome. However, they must explicitly position their results within the broader context to engage researchers across different areas and avoid silo formation. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract.

Technical Papers

Technical papers describe original insights pertaining to the field of information systems engineering. A technical paper should clearly describe the situation or type of problem tackled, the relevant state of the art, the position or solution suggested and its potential, as well as demonstrate the benefits of the contribution through a rigorous evaluation. We explicitly welcome three kinds of technical papers:

  • Technology oriented papers: produce and evaluate some technological artifact (infrastructure, tool, language, or system) in controlled/scoped experiments in lab settings.
  • Method oriented papers: evaluate, produce and evaluate some socio-technological artifact (a method, approach to be used in an information systems engineering context) that needs to be evaluated in a (less controllable) real world setting.
  • Conceptual and theoretical papers: deal with ontological, philosophical, semiotic, and mathematical foundations of information systems engineering. These papers typically use a deduction and/or argumentation based approach to develop a point/contribution as part of their evaluation.

Empirical Papers

Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate.

Exploratory Papers

Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation.

Topics of Contribution

The topics of contribution include but are not limited to:

Models, Methods and Techniques in IS Engineering

  • Ontologies and Ontology Engineering
  • Conceptual modeling, languages and design
  • Requirements engineering
  • Business process modeling, analysis and improvement
  • Process automation, mining and monitoring
  • Models and methods for evolution and reuse
  • Low-code/no-code technology
  • Domain and method engineering
  • Product lines, variability and configuration management
  • Compliance and alignment handling
  • Active and interactive models
  • Quality of IS models for analysis and design
  • Visualization techniques in IS
  • Decision models and business intelligence
  • Knowledge graphs
  • Human-centered techniques

Architectures and Platforms for IS Engineering

  • Distributed, mobile and open architecture
  • Big Data architectures
  • Cloud- and edge-based IS engineering
  • Service oriented and multi-agent IS engineering
  • Multi-platform IS engineering
  • Cyber-physical systems and Internet of Things (IoT)
  • Workflow and Process Aware Information Systems (PAIS)
  • Handling of real time data streams
  • Content management and semantic Web
  • Crowdsourcing platforms
  • Conversational agents (chatbots)
  • Microservices design and deployment
 

In addressing the aforementioned topics, papers could bring innovation in IS Engineering by leveraging on innovative techniques, tools, and platform such as:

  • Artificial Intelligence including generative AI and Machine Learning
  • Robotic Process Automation (RPA) and Intelligent Automation
  • Big Data, Data Science and Analytics
  • Blockchain applications in IS Engineering
  • Simulation and Digital Twins
  • IS Engineering for collaboration and social computing
  • Virtual Reality / Augmented Reality
  • Context-aware, autonomous and adaptive IS Engineering
 
Finally, submitted papers can be focus on specific domains such as:
  • IT governance
  • eGovernment
  • Autonomous and smart systems (smart city management, smart vehicles, etc.)
  • Healthcare
  • Educational Systems and Learning Analytics
  • Value and supply chain management
  • Industry 4.0/Industry 5.0
  • Sustainability and social responsibility management
  • Privacy, security, trust, and safety management

Submission Details

Submit your paper using the Easy Chair link: (EasyChair will be open on the 30th of October, and the link will be provided then)

 

Key Dates

Event Date
Abstract Submission (mandatory) November 14, 2025, AoE
Paper Submission November 28, 2025, AoE (FIRM!!)
Notification of Acceptance February 19, 2026
CAiSE 2026 Conference June 8-12, 2026