Data Science and Complex Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 107
Special Issue Editor
Special Issue Information
Dear Colleagues,
The convergence of data science and complex systems has become a driving force in modern scientific inquiry, offering powerful tools to model, predict, and understand intricate phenomena across diverse disciplines. This Special Issue of Mathematics explores the mathematical foundations, computational methods, and innovative algorithms that shape these fields, with a strong emphasis on rigorous theoretical frameworks and scalable solutions.
From biological networks to socio-technological infrastructures, complex systems exhibit nonlinear dynamics, emergent behaviors, and high-dimensional interactions that require advanced mathematical approaches. Simultaneously, the rapid growth of data demands novel algorithms for efficient analysis, optimization, and uncertainty quantification. This Special Issue seeks contributions that bridge these domains, positioning mathematical computing as a key enabler of scientific progress.
Topics of interest include (but are not limited to) the following:
- Mathematical modeling;
- Network science;
- Gene regulatory networks;
- Computational biology and bioinformatics;
- Machine learning and deep learning;
- Computer vision;
- Applications in climate science, health, epidemiology, agriculture, biotechnology, and urban systems—driven by mathematical advances.
Submissions should emphasize methodological innovations with the potential for transformative impact. By fostering collaboration among mathematicians, computational scientists, and domain experts, this Special Issue aims to drive breakthroughs at the intersection of data-driven discovery and complex systems.
We welcome original research papers, review articles, and case studies that align with these themes.
Dr. Francisco J. Altimiras
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data science
- complex systems
- mathematical modeling
- network science
- computational biology
- bioinformatics
- machine learning
- deep learning
- computer vision
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