Special Issue of JIIS


We officially announce the call for papers of the special issue of the Journal of Intelligent Information Systems (JIIS) on “Computational modelling and data-driven techniques for systems analysis” to which all participants to DataMod 2016 (and past editions as MoKMaSD) can send a revised an improved version of their paper. Moreover, the special issue is publicly open for new submissions from any other researcher.


Call for Papers 

Special Issue of the Journal of Intelligent Information Systems (JIIS) on 
“Computational modelling and data-driven techniques for systems analysis”



This JIIS Special Issue aims at bringing together contributions
from academia, industry and research institutions interested in the
combined application of computational modelling methods with data-driven
techniques from the areas of knowledge management, data mining and
machine learning. Modelling methodologies of interest include automata,
agents, Petri nets, process algebras and rewriting systems. Application
domains include social systems, ecology, biology, medicine, smart
cities, governance, education, software engineering, and any other field
that deals with complex systems and large amounts of data. 

More specifically, research results in any of the themes of interest of 
the DataMod 2016 symposium and its previous editions
(https://pages.di.unipi.it/datamod/edition-2016/) are welcome. Moreover, 
we encourage the submission of synergistic approaches: modelling methods 
and notations in a knowledge management/discovery context and/or the
development and use of common modelling and knowledge management/discovery 
frameworks to explore and understand complex systems from the application 
domains of interest. 

Papers that at the time have appeared in archived conference proceedings 
(e.g. in DataMod 2016) will be considered for publication only if there is 
at least 30% of new material (i.e. important additional empirical results, 
extensions of the methods and so on) compared to the conference version of
the paper. Authors of such submissions are required to enclose a letter 
discussing in detail the differences between the already published version 
and the submission. The Editors reserve the decision as to whether the 30% 
difference requirement is met. Papers may address topics including, but not 
limited to, the following.

Modelling and analysis methodologies:
* Agent-based Methodologies
* Automata-based Methodologies
* Big Data Analytics
* Cellular Automata
* Classification
* Clustering, Segmentation and Profiling
* Conformance Analysis
* Constraint Programming
* Data Mining
* Differential Equations
* Game Theory
* Machine Learning
* Membrane Systems
* Network Theory and Analysis
* Ontologies
* Optimisation Modelling
* Petri Nets
* Process Calculi
* Process Mining
* Rewriting Systems
* Spatio-temporal Data Analysis/Mining
* Statistical Model Checking
* Text Mining
* Topological Data Analysis

Application domains:
* Biology
* Brain Data and Simulation
* Business Process Management
* Climate Change
* Ecology
* Education
* Environmental Risk Assessment and Management
* Enterprise Architectures
* Epidemiology
* Genetics
* Governance
* Open Source Software Development and Communities
* Pharmacology
* Social Good
* Social Software Engineering
* Social Systems
* Sustainable Development
* Urban Ecology
* Smart Cities and Smart Lands


* Submission Deadline: 16 December 2016 
* Notification: End of February 2017


Stan Matwin - University of Ottawa, Canada, 
Luca Tesei - University of Camerino, Italy, 
Roberto Trasarti - ISTI-CNR, Pisa, Italy


All submissions must be prepared according to the "Instructions for
Authors" published in the journal website at
The maximum length of papers is of 30 pages.

Submissions must be sent electronically through the Editorial Manager
system at https://www.editorialmanager.com/jiis/Default.aspx 
Upon logging in to the system as author and starting the submission 
process, please select the special issue "Computational modelling and 
data-driven techniques for systems analysis" during the process. 

Submitted manuscripts must have not been published before and must not 
be under consideration for publication anywhere else. The publication 
of the manuscript must have been approved by all co-authors, if any, 
as well as by the responsible authorities – tacitly or explicitly – at 
the institute(s) where the work has been carried out.