Mathematical and Computational Modelling in Empirical and Applied Science
A special issue of Mathematics (ISSN 2227-7390).
Deadline for manuscript submissions: 31 October 2025 | Viewed by 316
Special Issue Editors
Interests: computational mathematics; differential equation integration; biomedical image processing; symbolic and numerical methods for applied science problems
Special Issues, Collections and Topics in MDPI journals
Interests: stochastic modelling in biomathematics; stochastic modelling of gene regulatory networks (GNRs); stability of equilibria for stochastic ordinary differential equations and delay differential equations
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Life sciences have become central in scientific research over recent years, both for their wide range of advanced applications and for their usefulness in the treatment of complex and/or rare diseases that affect humans.
Experimentalists in biology and, more generally, in the natural and applied sciences increasingly look to the simulation methods and tools that mathematicians, statisticians, and computer scientists can offer, in attempts to obtain in-depth information on the physical phenomena in which they are involved.
To accomplish this task, modeling is confirmed as an essential step with which to gain insights and acquire knowledge on the phenomena considered, describe the related processes of interest, and make predictions.
Contributions are therefore welcome regarding applications of mathematics to real-life situations and, above all, to natural and applied science, particularly computational biology and biotechnology, but also physics and medicine.
Also of interest are applications involving complex and/or high-dimensional data or dynamics arising in the social sciences, especially economics devoted to health and lifestyle aspects.
Particular consideration is given to numerical and computational treatments.
Hybrid symbolic/numerical solution approaches are also of interest.
Potential contributions include—but are not limited to—the following topics:
* Deterministic and stochastic modeling and simulation in empirical and applied sciences;
* Computational methods in natural, social, and applied sciences;
* Artificial intelligence in biomathematics, biomedical imaging, and healthcare applications;
* Mathematical modelling for bioscience data integration;
* Optimization methods for computational system biology;
* Big data analysis and their numerical treatment;
* Computational approaches for multi-omics data;
* Symbolic and numerical computation.
Prof. Giulia Spaletta
Prof. Dr. Margherita Carletti
Prof. Dr. Alberto Lanconelli
Guest Editors
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
- deterministic and stochastic modeling and simulation in empirical and applied sciences
- computational methods in natural, social, and applied sciences
- artificial intelligence in biomathematics, biomedical imaging, and healthcare applications
- mathematical modelling for bioscience data integration
- optimization methods for computational system biology
- big data analysis and their numerical treatment
- computational approaches for multi-omics data
- symbolic and numerical computation
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