Mathematical and Computational Modelling in Empirical and Applied Science

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

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