Conference Description:

*** Call for Papers ***

36th International Conference on Advanced Information Systems Engineering
(CAiSE'24)

June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus

https://cyprusconferences.org/caise202 4/

(*** Submission Deadline: November 24, 2023 AoE ***)


The CAiSE’24 organization calls for full papers with a special emphasis on the theme of
Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged
as a transformative technology, revolutionizing various industries, and its significance in
Information Systems cannot be overstated. AI-powered systems have the potential to
streamline operations, enhance decision-making processes, and drive innovation across
organizations. From data analysis to automated processes, AI is reshaping the way we leverage
information in the digital age. The relevance of AI in IS extends beyond internal operations.
AI-powered predictive analytics enables organizations to forecast trends, anticipate customer
needs, and optimize resource allocation. This empowers businesses to adapt swiftly to
changing market dynamics, gain a competitive edge, and make proactive decisions. AI
algorithms can also detect anomalies and patterns that indicate potential security breaches,
contributing to robust cybersecurity measures in information systems. However, while
acknowledging the benefits, it is essential to consider the ethical implications of AI in
information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining
transparency are vital aspects that need to be carefully managed and regulated to foster trust
and accountability.

In addition to offering an exciting scientific program, CAiSE’24 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 invited to submit enhanced versions for
consideration in a special issue of Elsevier Information Systems journal 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. See the guidelines here:
https://www.springer.com/comp/lncs/aut hors.html .

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 online and 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’24 and published in the Springer Lecture Notes in Computer Science (LNCS)
conference proceedings. 

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 precisely describe the situation and demonstrate why current methods,
tools, ways of reasoning, or meta-models are inadequ