New journal JACT: Call for submissions

A new “Journal of Applied and Computational Topology” (APCT) will start appearing in the beginning of 2017 published by Springer. Information about the scope of the journal, the editorial team and the submission procedure can be found here.
The main goals of the journal are to provide a forum for the parts of topology that have new and exciting applications within mathematics and the sciences, as well as to facilitate the development of relevant algorithms.

Please submit your current work to APCT.  We strive for an excellent quality journal, and  we need the support of the community to achieve this.



GIPHOD (Group Invariant Persistent HOmology Demonstrator) is a program realized to show how persistent homology can be made invariant with respect to any given group G of homeomorphisms, still preserving non-invariance with respect to the homeomorphisms that do not belong to G. This property is important for applications in computer vision and pattern recognition.
GIPHOD uses a dataset of 10000 quite simple synthetic gray-scale images, represented as functions from the square [0,1]x[0,1] to the interval [0,1] (1=white, 0=black). 1000 images (call this set X) are randomly generated, whereas the rest 9000 images are obtained by applying transformations composed of translations, rotations and reflections to the images in the set X (let us call this set Y).
The user can choose one of the invariance groups and one of the query images that we propose. The query images that can be selected are taken from the set X, and it is possible to change their list by clicking on the “Random images” button. GIPHOD looks for the ten most similar images in our dataset (consisting of the sets X and Y), with respect to the invariance group that has been chosen. Among these ten images, the ones that are judged to be close to the query image are displayed in green.

GIPHOD is available online at


ACAT was an ESF networking programme about Applied and Computational Algebraic Topology. See the brochure and the
detailed programme proposal for more information.

The revolutionary growth of experimental data in the sciences and the availability of unprecedented computing power pose many challenges to contemporary mathematics. The ESF Research Network on Applied and Computational Algebraic Topology will combine efforts of researchers from thirteen European countries to develop mathematical tools for the following broad research themes:
The topological and statistical analysis of shapes, images, and large multidimensional data sets;
Algorithms for motion planning and the study of configuration spaces of mechanical systems;
Statistical topology and the study of large growing systems;
The theory of concurrent computation and computer networks.
Research on these themes is currently carried out in small groups spread over several European countries. The Network will facilitate intensified interactions and cross-fertilization, which we predict will lead to new results and entire new research directions as well as to commercial applications in industry. The Network will organize summer schools and conferences to support the formation of an integrated research community in Applied and Computational Algebraic Topology and to attract an increasing number of students to the field. The Network will actively collaborate with experts outside Europe.