Conference Information
CAiSE 2023: International Conference on Advanced Information Systems Engineering
https://caise22.ugent.be/
Submission Date:
2022-11-22
Notification Date:
2023-03-01
Conference Date:
2023-06-12
Location:
Zaragoza, Spain
Years:
35
CCF: b   CORE: a   QUALIS: a2   Viewed: 29567   Tracked: 101   Attend: 11

Call For Papers
The CAiSE’23 organization calls for full papers with a special emphasis on the theme of Cyber-Human Systems. This year’s theme reflects the increasingly coupled relationships between humans and computing, giving rise to cyber-human systems. The overall aim of these systems is to advance human abilities to work in complex environments. The theme refers to various aspects of the interface between humans and technology, with the intention to advance models, methods and theories relating to such systems. Examples include novel computing platforms (e.g., wearable devices), systems that interact with users through multiple modalities (e.g., brain-machine interfaces), human-in-the-loop approaches, local data processing in smart devices, and intelligent infrastructures for augmented life and society. 

In addition to offering an exciting scientific program, CAiSE’23 will feature a best paper award, a journal special issue, and a PhD-thesis award: 

    Best Paper Award‚ prize EUR 1000  (sponsored by Springer)
    A small selection of best papers will be recommended for inclusion in a special issue of Information Systems dedicated to this conference.
    PhD-Thesis Award‚ best PhD thesis of a past CAISE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer)

Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. 

The results described must be unpublished and must not be under review elsewhere.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, by one additional program board member. The selected papers will be discussed among the paper reviewers on-line and additionally 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’23 and published in the conference proceedings in the Springer Lecture Notes in Computer Science (LNCS). 

We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. 

    Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or 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.
    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 describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities or new IS challenges. They must describe precisely 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 to addressing the identified situation.

The topics of contribution include but are not limited to:

    Novel Approaches to IS Engineering
        Artificial Intelligence and Machine Learning
        Robotic Process Automation  (RPA)
        Big Data, Data Science and Analytics
        Blockchain applications in IS
        Simulation and Digital Twins 
        IS for collaboration and social computing 
        Virtual reality / Augmented Reality
        Context-aware, autonomous and adaptive IS
    Models, Methods and Techniques in IS Engineering
        Ontologies and Ontology Engineering
        Conceptual modeling, languages and design
        Requirements engineering
        Process modeling, analysis and improvement
        Process automation, mining and monitoring
        Models and methods for evolution and reuse
        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
    Domain-specific and Multi-aspect IS Engineering
        IT governance
        eGovernment
        Autonomous and smart systems (smart city management, smart vehicles, etc.)
        IS for healthcare
        Educational Systems and Learning Analytics
        Value and supply chain management
        Industry 4.0
        Sustainability and social responsibility management
        Privacy, security, trust, and safety management
        IS in the post-COVID world
Last updated by Dou Sun in 2022-08-21
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20073014013.3%
20061893317.5%
20052723613.2%
20041603924.4%
20032194520.5%
20021734224.3%
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