Topical Collection "Do Entropic Approaches Improve Understanding of Biology?"

A topical collection in Entropy (ISSN 1099-4300). This collection belongs to the section "Entropy and Biology".


Prof. William B. Sherwin
E-Mail Website
Guest Editor
Evolution & Ecology Research Centre, School of Biological Earth and Environmental Science, UNSW Sydney, Sydney NSW 2052, Australia
Tel. 61293852119
Interests: molecular ecology; evolutionary genetics; biodiversity; genomics, transciptomics; mathematics of forecasting and measuring biodiversity; conservation genetics and demography; endangered harvested and invasive species; evolutionary ecology of parentage, relatedness and group formation, especially in dolphins
Prof. Dr. Robert Niven
E-Mail Website
Guest Editor
School of Engineering and Information Technology, The University of New South Wales, Canberra, ACT, 2600, Australia
Tel. 02 6268 8735
Interests: Bayesian and maximum entropy methods for the analysis of engineering and scientific systems; theoretical foundations of Bayesian inference, Bayesian estimation and plausible reasoning; entropy-based inference and extremum methods; Bayesian risk assessment; heuristics and methods for the selection of prior probabilities; probabilistic transport and evolution equations and operators
Special Issues and Collections in MDPI journals

Topical Collection Information

Dear Colleagues,

Biology and medicine, from molecules to landscapes, are ideally suited to entropy or information approaches, because biological systems are highly variable, with stochastic processes of Innovation, Transmission, Adaptation and Movement.  We are now seeing many papers being published for all biological levels from biomolecules to landscapes. However,  these papers often do not assess whether the entropic approach actually gives a better performance than other forecasts or measures.  Therefore this Topical Issue of ‘Entropy’ encourages the submission of manuscripts that do such comparisons, using either or both simulations and biological data.

We encourage authors to make their contribution accessible to a wide range of science graduates, without compromising scientific content or flow, for example via a table of symbols and jargon, containing definitions understandable to most science graduates. We also encourage the addition of a supplementary short (e.g., three-minute) video, which explains in plain language the general significance of the major finding(s).

Prof. William B. Sherwin
Prof. Dr. Robert Niven
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the collection 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. Entropy is an international peer-reviewed open access monthly 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 1600 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.

Published Papers

This collection is now open for submission.
Back to TopTop