Our scholarly publishing house, member of Crossref and vetted by external advisory and review panels, is a recently established small but solidly founded haven for rigorous scientific research and academic development.
We begin by promoting a set of publications containing original scientific works that are far too detailed and thorough to fit into the short formats contemplated by academic journals, and far too ahead of their time to fall into the review nature of a reference book. Therefore, our primary focus is on original research monographs for primary sharing of novel scientific advances, and on original pedagogic monographs for academic innovation entailing new and frontier high-level university courses.
The first peer-reviewed set in this regard consists of our Monographs on Dynamical Systems and Complexity (M-DSC).
Moreover, we also promote Academic Report Series on a growing range of methodologically oriented topics. “Complex System Dynamics” (CSD) and ”Interdisciplinary Data Analytics and Model Design” (IDAMD) are among the doctoral courses and research programs founded by our chair at M-DSC and also at ICS from the University of Lisbon. CSD and IDAMD are gaining now an additional dimension as international peer-reviewed scientific venues, in order to share novel scholarly research emerging not only from within our programs, but also welcoming external contributions in related fields.
The overall scope is centred around, but not limited to, the following topics:
- Fundamental principles behind the nature, geometry and dynamics of information across natural, social and joint systems;
- Fundamental notions on the dynamics of complex systems and information physics;
- Methods of systematization of dynamic systems: simple conceptual structures representing complex natural, technical and social phenomena;
- Techniques for data analytics and model design. From spatiotemporal geostatistics to broader dynamic information tools for data mining, pattern recognition, causal analysis and model design;
- Dynamic methods of extraction and analysis of information related to the dynamics of complex systems, from empirical and computational records;
- Methods of evaluating uncertainty and predictability in complex system dynamics, for representative model optimization and decision support.
- Techniques for data visualization, information sharing and overall communication of scientific results;
- Operational real-world examples for e.g. a) data mining and machine learning in large datasets; b) nonlinear analytics and model design for earth system dynamics; c) early warning and automated decision support systems regarding natural (e.g. hydro-meteorological, geophysical) and socio-economic hazards;
- Conceptual, analytical and computational products tackling the prior points in real world theatres of operation.
Further information on our publications can be found here.
Queries and orders can be formulated through the Fluid Dynamical Systems contact form.
Stay tuned for the upcoming opening of our new electronic platform for these venues.