[Sep 11th, 2014] Slides of keynote talks are available (see Program and Preproceedings)!
[Aug 20th, 2014] Preproceedings are online!
[June 6th, 2014] Extended deadline (June 13th)
[May 15th, 2014] Keynote speakers!
[May 15th, 2014] Second call for papers!
[April 25th, 2014] First call for papers!
[April 1st, 2014] Preliminary call for papers!
[April 1st, 2014] Web site launched!
MoKMaSD 2014 aims at bringing together practitioners and
researchers from academia, industry, government and non-government
organisations to present research results and exchange experience,
ideas, and solutions for modelling and analysing complex systems and
using knowledge management strategies, technology and systems in various
domain areas such as ecology, biology, medicine, climate, governance,
education and social software engineering.
Papers that present a synergistic approach that integrates modelling and
knowledge management/discovery or exploit knowledge management/discovery
to develop/syntesise system models are especially welcome.
Topics of Interest
Methodologies and notations include:
Agent-based Methodologies
Automata-based Notations
Big Data Analytics
Cellular Automata
Constraint Programming
Data Mining
Differential Equations
Empirical Modelling
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
System Dynamics
Text Mining
Application domains include:
Biology
Business Process Management
Climate Change
Ecology
Education
Environmental Risk Assessment and Management
Enterprise Architectures
Epidemiology
Genetics
Governance
Pharmacology
Social Software Engineering
Social Systems
Sustainable Development
Urban Ecology and Smart Cities
Synergistic approaches include:
use of modelling methods and notations in a Knowledge Management context
development and use of common modelling and Knowledge Management frameworks to explore and understand complex systems from the application domains of interest
Alberto d'Onofrio, International Prevention Research Institute (iPRI), France
Title: Human Behavior and the Spread of Infectious Diseases: a challenge for modeling
(See abstract)
Elisa Fromont, Université de Lyon, Université de St-Etienne, France
Title: Mine first to see better
(See abstract)
Paper are expected to be of one of the following two kinds:
SYSTEMS, aiming at illustrating realistic applications of modelling
and/or knowledge management and discovery techniques such as
simulation, visualisation, animation, nonlinear systems analysis,
model-checking, inferential statistics, data/text/process mining;
DOMAINS, aiming at presenting ideas, conceptual results, case
studies and tools in one of the domain areas listed above in relation to
the possible use of modelling and/or knowledge management/discovery
methodologies.
Moreover, papers (of both SYSTEMS and DOMAINS kinds) can take one of the following two forms:
Regular (research or position) paper, between 12 and 16 pages
Short (research or position) paper, up to 6 pages
Short papers can discuss new ideas which are at an early stage of
development and which have not yet been thoroughly evaluated.
Each paper will be reviewed by three Program Committee members.
Notification and reviews will be communicated via email through the
Easychair platform.
Publication
Accepted papers will be included in the Symposium programme and
will appear in the symposium pre-proceedings. Pre-proceedings will be
available online before the Symposium.
Revised versions of accepted regular papers and of a selection of
accepted short papers will be published after the Symposium by Springer
in a volume of Lecture Notes in Computer Science ( http://www.springer.com/lncs
), which will collect contributions to some workshops and symposia
co-located with SEFM 2014. Condition for inclusion in the
post-proceedings is that at least one of the co-authors has presented
the paper at the Symposium.
A special issue of some international journal with selected papers
may be planned, depending on the number and quality of submissions.
