Skip to content


Call for Papers: Emergent Technologies in Complex Adaptive Systems Modeling 2017

We are happy to announce the organization of a thematic series of The Complex Adaptive Systems Modeling Journal, which will feature articles based primarily on or related to work originating from papers at the Annual International Frontiers of Information Technology Conference (Islamabad, Pakistan: Dec 2017). The deadline for article submission is October 31, 2017.

This special issue will bring together a broad range of topics in the form of research, short reports, survey, or tutorial papers. While the key selection of papers will be extensions from the conference, it will also be acceptable to submit papers which have not been published in the conference.

Topics may include, but are not limited to:   

  • Agent-based Modeling
  • Complex Network Modeling
  • Multiscale modeling
  • Discrete Event Simulation
  • Formal Specification-based Simulation Models
  • Formal and Textual Specification of Complex Systems Models
  • Verification & Validation of Models
  • Distributed simulation
  • Participatory simulation
  • Modeling and Simulation of Complex Adaptive Communication Networks and Environments (CACOONS)
  • Wireless sensor Networks
  • Body Area Networks
  • Vehicular Networks
  • Nano-communication networks
  • Self-organizing networks
  • Online social networks
  • Offline social networks

We hope that you will consider submitting to this Special Issue!

Submission instructions:
Before submitting your manuscript, please ensure you have read the Submission Guidelines for Complex Adaptive Systems Modeling. The complete manuscript should be submitted through the Complex Adaptive Systems Modeling submission system. To ensure that you submit to the thematic series please select the appropriate section in the drop-down menu during the 'Additional Information' stage of submission. Please also indicate within your cover letter that you wish your manuscript to be considered as part of the Emergent Technologies in Complex Adaptive Systems Modeling 2017 Thematic series. All submissions will undergo rigorous peer-review and accepted articles will be published in the journal as a collection.

Deadline for submissions:
October 31, 2017.

Additional Information:
Submissions will benefit from the usual advantages of open access publication:

  • Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient.
  • High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article.
  • No space constraints: Publishing online means unlimited space for figures, extensive data and video footage.

Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed

For editorial enquiries please contact

Editor-in-Chief Quote

Muaz A. Niazi

Complex Adaptive Systems Modeling (CASM) is a unique high quality, peer-reviewed journal developed for multidisciplinary researchers with an interest in two modeling and simulation paradigms; namely agent-based modeling and complex networks. Researchers interested in the modeling and simulation of Complex Adaptive Systems range from the social sciences to life sciences and from computer sciences to archeology and ecology. A unique feature of CASM is the goal of bridging a gap between different disciplines without sacrificing readability of articles across its broad readership; articles published in CASM are expected to be written so as to be comprehensible by researchers not only from the same discipline but also understandable by readers from others. So, a computer science paper in CASM should be written so as to be accessible to Biologists, Social scientists and vice versa.

Muaz A. , Editor-in-Chief COMSATS Institute of IT

Advisory Board Member Quote

Tamas Vicsek

Paradoxically, the best way to understand complex systems is to design models that simulate their behavior from a particular perspective. This is why I find the CASM initiative important and timely.

Tamas , Journal Advisory Board Member Eotvos University