4. The Great Mathematical Workshop — 2021 has ended

The Great Mathematical Workshop — 2021 has ended

28.08.2021
On August 16–20 the second and final week of the Great Mathematical Workshop was held. The project sessions was successfully completed by 29 teams working on research and engineering tasks.

It is too early to summarize the results immediately after the end of the Workshop: most of the project teams set themselves the task of writing scientific articles, and some of them are not at all going to stop working on the topic of their project. So, noting the amount of work done, the participants share that they have truly entered a new field. Moreover, they thought about how to do something useful in this area in the near future.

Alexander Belov, participant of the project "Assessing the stability of ciphers to differential cryptanalysis", says:

On the last day of GMM, the final presentation of the results took place, during which we heard very interesting questions from other participants. These questions led us to new ideas, and we immediately wanted to continue working on the project and test new hypotheses, albeit not within the framework of the Workshop.

Participants and curators also note the benefits of project teams interacting with each other:

The challenge of working on a GMM project is worth the effort and time for a number of reasons. One of the reasons is communication with people who can advise on alternative methods of solving the assigned tasks. In our specific topic, namely in the study of the growth of the human fetal brain, we cannot do with the methods of only one science, we need interdisciplinary contact. And these contacts were given to us by the Great Mathematical Workshop!

— comments Anastasia Akulova, curator of the project “Analysis of medical images. Fetal Brain".

The online format of the Workshop gave its advantages: the participants had the opportunity to become members of teams consisting of people with different experience and education, and even speaking different languages. Despite the peculiarities and difficulties of this format, the participants still managed to understand the task, communicate with each other and work productively.

The rapid study of new technologies and methods for the implementation of the project and the experience of working with the customer (for some, the first) allowed the teams to build and strengthen cooperation both with representatives of various scientific and educational organizations, and with representatives of the real sector of the economy. MCA Director Evgeny Vdovin will talk about the results of approbation of the Big Mathematical Workshop as a model for organizing educational and research activities at the International Forum for Technological Development TECHNOPROM 2021 as part of the section "World-class research centers: from industry 4.0 to society 5.0".

Sergey Ospichev, organizer of the ML cluster of the workshop, says:

Within the framework of our cluster, a project for the analysis of medical tomographic images combined with a project on improving the architecture of neural networks created for recognizing tomographic images. During the work of the workshop, several scientific hypotheses were born, which over time, I hope, will grow into fruitful cooperation between the scientific team under the leadership of Doctor of Physical and Mathematical Sciences. Alexander Chupakhina and a group of machine learning specialist, Doctor of Technical Sciences Alexander Kugaevskikh.

Timur Nasybullov, Deputy Director of the Mathematical Center in Akademgorodok, comments:

A large math workshop definitely contributes to the formation and development of cooperation between representatives of various fields of science, industry and business. Thus, within the framework of the project "Algebra, geometry infographics", a program of joint work of specialists from NSU and NSUADA in the field of control of greenhouse gas emissions into the atmosphere was formulated, the team of the project "Digital Farms Overgrower" jointly by students and staff of NSU, as well as specialists from the company "Modern cultivation systems" received a number of important results on the index of water stress of plants, and the project team "Machine extraction of meaning from text and its applications in the tourism business" in cooperation with the company "Pegas Touristic" has developed a new system for the selection of travel packages based on machine learning.