Kinetic Models of Collective Phenomena and Data Science
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Dynamical Systems".
Deadline for manuscript submissions: 15 November 2024 | Viewed by 694
Special Issue Editors
Interests: analysis of the mathematical structure of the kinetic theory and its applications to many kinds of many-particle systems, with particular reference to psychological, social and economic systems, and to the problem of diffusion of infectious diseases
Interests: mathematical physics; kinetic theory; complex systems; PDEs; integro-differential equations; probability theory
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The aim of this Special Issue is to offer to scientists who work in the field of mathematical physical models of natural phenomena, about many-particle systems. We are particularly concerned with successful schemes based on the recent extensions of Boltzmann’s Kinetic Theory and its different types of applications, ranging from biology to psychology, from social sciences to the economy, and from the theory of evolution to the mechanical behaviors of swarms and crowds, and, very recently, the interactions between the random variables describing correlated experiments, thus entering the domain of data science. We address expert scientists and young researchers interested in the study of collective phenomena.
We are pleased to invite you to contribute a paper to this Special Issue of Mathematics on Kinetic Models of Collective Phenomena and Data Science, aiming to offer help with mathematical formulations of their problems and information about the current research on many-particle systems, with a particular concern for models and applications related to biology, the social sciences, and data management, including suitable reinterpretations and formal modifications of kinetic models.
In this Special Issue, original research articles and reviews are welcome. The research areas may include (but are not limited to) the following:
- Kinetic models for biology;
- Kinetic models for social sciences and economics;
- The role of random variables and stochastic processes in the formulation of kinetic models;
- The possible formulation of kinetic models for systems of random variables.
We look forward to receiving your contributions.
Prof. Dr. Bruno Carbonaro
Dr. Marco Menale
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
- mathematical models
- stochastic models
- kinetic theory
- probability
- random variables
