We are excited to announce that a forthcoming special issue of the European Journal of Applied Mathematics (EJAM) will feature research articles that involve partial differential equations (PDE) used in data science.

PDE models have found their way into the data sciences, in a variety of ways. They are used directly, for example for data assimilation, image processing, image analysis, shape analysis, inverse problems, computer vision, and modelling complex phenomena such as crowd motion, opinion formation, and option pricing. PDE ideas also serve as an inspiration to formulate and solve data problems on graphs and networks, such as in the use of graph-discretised PDE for various classification and community detection problems, and in the application of Gamma-convergence to link graph and continuum variational classification models, which is crucial for analysing these models and for understanding their scalability. Submissions on these and related topics are invited for this special issue.

The peer review of submissions for this special issue will be in accordance with EJAM's mission to focus on mathematical models inspired by real-world applications, while at the same time fostering the development of theoretical methods with a broad range of applicability. Further details on EJAM's mandate can be obtained from the website.

The guest editors for this special issue will be Yves van Gennip (University of Nottingham) and Carola-Bibiane Schönlieb (University of Cambridge).

Papers are due no later than 19 October 2016. Authors should lodge submissions online via the EJAM submission website, noting in a covering letter that their paper is for consideration for this special issue. Publication of the special issue is expected to be in autumn 2017.

Enquiries can be directed to Yves van Gennip (special issue), Carola-Bibiane Schönlieb (special issue), or John King (general enquiries).

With best regards,

Yves van Gennip

Lecturer in Applicable Analysis
School of Mathematical Sciences
University of Nottingham
University Park
Nottingham
NG7 2RD