The 15th A. I. Kitov International Scientific and Practical Conference “Information Technology and Mathematical Methods in Economics and Management (IT&MM)” is being held at Plekhanov Russian University of Economics on March 26-27, 2026. The conference is organized by the Institute of Digital Economy and Information Technology and the Informatics Department of the Plekhanov Russian University of Economics.

Leading scientists, faculty, and students from Plekhanov Russian University of Economics, the Federal Research Center “Informatics and Control” of the Russian Academy of Sciences, the Institute of Control Sciences of the Russian Academy of Sciences, the V. M. Glushkov Institute of Cybernetics of the National Academy of Sciences of Ukraine, the Higher School of Economics, Lomonosov Moscow State University, MPEI, MAI, MIPT, the Presidential Academy of National Economy and Public Administration, the Financial University under the Government of the Russian Federation, and other leading universities and research centers from Russia and several other countries are participating in the conference.

Participants discuss current fundamental problems in computer science and applied mathematics, particularly in such important scientific areas as intellectual analytical methods in managing economic and social systems; information systems for making management decisions; mathematical methods for analyzing and optimizing the use of economic information; and more.

The conference agenda includes a plenary session and six sections.

The agenda for the plenary session, which took place on March 26, 2026, included the following presentations.

1. Dmitry Aleksandrovich Shtykhno, Vice-Rector of the Plekhanov Russian University of Economics. Plekhanov
   Opening of the ITiMM-2026 Conference
2. Igor Anatolyevich Sokolov, Dean of the Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, full member of the Russian Academy of Sciences
   Artificial Intelligence Technologies in Scientific Research
3. Yuri Evgenievich Hohlov, Chairman of the Board of Directors of the Institute for the Development of the Information Society, full member of the Russian Engineering Academy
   Training Top Specialists in Information Technology: Competency-Role Models and Accelerated Growth
4. Vladimir Eduardovich Balasanyan, Chairman of the Board of Directors of the Electronic Office Systems Group
   Andrey Aleksandrovich Pashkov, Chief Software Promotion Specialist of the Electronic Office Systems Group
   Potential for Ensuring Information Security in Electronic Document Management Systems (EDMS) and Long-Term Document Storage Systems
5. Vladimir Vasilievich Korenkov, Scientific Director of the Information Technology Laboratory, JINR, Doctor of Engineering, Professor
   Digital Technologies and Intelligent Analysis in Large-Scale Projects
6. Alexander Konstantinovich Petrenko, Head of the Programming Technologies Department at the Institute for System Programming of the Russian Academy of Sciences, Professor, Doctor of Physical and Mathematical Sciences
   Modern Technologies for Developing Trusted Software
7. Alexander Alexandrovich Lotakov, Leading Analyst at Loginom
   How to Spend a Budget on Artificial Intelligence and Achieve Nothing
8. Alexander Oskarovich Gurdus, Chief Specialist at the Federal Research Center for System Programming of the Russian Academy of Sciences, Professor, Doctor of Economics, Candidate of Engineering Sciences
   Some Aspects of Global Governance in a Single Digital Space of Economic Interaction

More detailed information about the event is available on the ITiMM website.

The national standard GOST R 72514 “Artificial Intelligence System Impact Assessment” has been published on the Rosstandart website. The document was developed by the Institute of the Information Society based on its own Russian translation of the international standard ISO/IEC 42005:2025 “Information technology — Artificial intelligence (AI) — AI system impact assessment.” The standard was submitted by Technical Committee for Standardization TC 164 “Artificial Intelligence” and comes into effect on May 1, 2026.

This standard establishes guidelines for organizations conducting impact assessments of artificial intelligence (AI) systems on individuals and social groups that may be affected by the AI ​​system and its foreseeable applications. It specifies how and when to conduct such assessments and at what stages of the AI ​​system’s lifecycle, and also provides guidelines for documenting the impact assessment of an AI system. It establishes how the AI ​​system impact assessment process can be integrated into an organization’s existing artificial intelligence risk management system and AI management system.

This standard is intended for use by any organization developing, providing, or using AI systems.

The standard’s contents are as follows:

1 Scope
2 Normative References
3 Terms and Definitions
4 Abbreviations
5 Development and Implementation of the Artificial Intelligence System Impact Assessment Process
6 Documentation of the Artificial Intelligence System Impact Assessment
Appendix A (informative) Guidelines for using this standard in conjunction with GOST R ISO/IEC 42001
Appendix B (informative) Guidelines for using this standard in conjunction with ISO/IEC 23894
Appendix C (informative) Taxonomy of Harms and Benefits
Appendix D (informative) Combining the Artificial Intelligence System Impact Assessment with Other Assessments
Appendix E (informative) Example of an Artificial Intelligence System Impact Assessment Template
Bibliography

Source: Rosstandart website

The national standard GOST R 72515, “Transparency Taxonomy of Artificial Intelligence Systems,” has been published on the Rosstandart website. The document was prepared by Volgograd State University and the Institute of the Information Society based on their own Russian translation of the international standard ISO/IEC 12792:2025, “Information technology — Artificial intelligence (AI) — Transparency taxonomy of AI systems.” The standard was submitted by Technical Committee for Standardization TC 164 “Artificial Intelligence” and comes into effect on May 1, 2026.

The objectives of this standard are:

• to enhance trust, accountability, and communication among various artificial intelligence (AI) stakeholders, including supply chain partners, customers, users, society, and regulators, by creating a consistent terminology related to the transparency of AI systems
• to provide AI stakeholders with information about various transparency elements, outlining their significance and potential limitations for different use cases and target audiences
• to provide a basis for developing AI system transparency standards for specific technologies, industries, and geographies

Transparency of AI systems is the ability of stakeholders to obtain adequate information about the system. This information may include information about the system’s functionality, limitations, data, system design, and design decisions. Increased transparency provides relevant stakeholders with information that allows them to better understand how AI systems are developed and used. For example, it allows an AI client (e.g., an AI user) to determine whether the system is suitable for their situation, and it helps an AI auditor assess whether it meets compliance requirements. A standardized transparency taxonomy allows representatives of different professions to better understand each other through the use of common terminology. This, in turn, facilitates a better understanding of AI systems and provides a basis for the development of interoperable and harmonized transparency-related standards.

This standard is intended for use by organizations of all types using any type of AI system.

The standard’s contents are as follows:

1 Scope
2 Normative References
3 Terms and Definitions
4 Abbreviations
5 Overview
6 Stakeholder Needs and Transparency Goals
7 Context Taxonomy
8 System Taxonomy
9 Model Taxonomy
10 Dataset Taxonomy
Appendix A (informative): Examples of Stakeholder Roles in Transparency Disclosure
Bibliography

Source: Rosstandart website

The first issue of the Information Society Journal for 2026 is published. The main theme of the issue is Accelerated development of modern technologies. The articles in this issue cover, among others, the following topics:

Virtual reality as an information phenomenon
Creating value from data
Regulating the data sphere in public administration
The phenomenon of “information warfare”
National cybersecurity system
Algorithms as a subject of communication
Evolution of blockchain technology
Land resource management technologies
Smart technologies in the hospitality industry
Digital transformation of the Russian Arctic

In her address to readers “Science for the defense of the Fatherland,” the journal’s editor-in-chief Tatiana Ershova wrote:

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This issue of the journal was published during a period when our country celebrates two holidays: Russian Science Day on February 8 and Defender of the Fatherland Day on February 23. The connection between science and defense is especially important now, when we are essentially in a state of a formidable military confrontation with the high-tech West through its Ukrainian testing ground.

As the weekly “Zvezda” rightly points out, in the scientific “trenches,” delay is tantamount to death, so the combat lines of the Special Military Operation have become a testing ground for Russian military technologies and defense research. From the first days of the SMO, our troops were confronted with the realities of network-centric warfare, which is being actively implemented in NATO structures and has thoroughly penetrated the training system of the Ukrainian Armed Forces. It links command posts and endpoints of specific combat units into a single network, and there are ongoing attempts to transform digital and scientific-technical advantages into military superiority. This cannot be allowed to happen, so there is an uncompromising struggle to preempt the enemy’s acquisition of intelligence, its rapid processing, and the transmission of information to alert combat assets and units.

Today, Russian scientists are working in many areas to defend the Fatherland. Let’s name just a few. At the forefront is the development of electronic warfare systems. This method helps neutralize the enemy’s ability to gather intelligence and coordinate its forces and is used to achieve a tactical advantage in both defensive and offensive missions. Another area is the development of unmanned aerial vehicles, which are used for border patrols, detection of potential threats, reconnaissance operations, strikes, and much more. Another key area is the development of nuclear power plants, such as low-power plants and floating power units, which can solve energy shortages.

Scientists, engineers, and researchers are behind technological progress in the military-industrial complex, the modernization of existing weapons, and the creation of new ones. Today, their ranks are being swelled by bright and talented representatives of the younger generation. One of them is Konstantin Titov, an associate professor at Voronezh State University, a PhD candidate in physics and mathematics, and a laureate of the Russian Presidential Prize in Science and Innovation. He noted: “We are essentially developing the technology of the future, meaning we have to analyze trends in the development of modern technologies, determine and make forecasts, and calculate the probabilities of using certain technologies. And then, based on this data, we conduct our analytical and experimental research, develop the technology, test it, and deploy it.” On behalf of the editorial board, I would like to congratulate all scientists working for Russia’s defense on two important holidays and wish them breakthrough achievements in the use of information society technologies to defend the Fatherland.

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The full text of the issue can be found on the journal’s website.

Dear colleagues, partners and friends!

Congratulations on a glorious holiday – Defender of the Fatherland Day! May each of us contribute to our victory in the name of the peace and prosperity of Russia!

We wish all of you good health and success!

The staff of the Institute of the Information Society sincerely congratulates A. N. Raikov, a member of the IIS Supervisory Board, on this glorious anniversary! We wish Alexander Nikolaevich, our loyal friend and comrade for decades, good health, boundless energy, new ideas, and a long life!

A meeting of the State Council Commission on the “Data Economy” was held on 6 February 2026 at the Moscow Region Government House to discuss the development of artificial intelligence in Russia. Andrey Vorobyov, who chairs the Commission, described, among other things, how AI is being implemented in the Moscow Region.

“Our President has set the task of creating a national plan for the implementation of generative artificial intelligence. And it’s clear that specific products are crucial. Therefore, the task of our Commission and the regions is to propose successful practices for replication. The goal is to free people from routine tasks by transferring typical automation processes to artificial intelligence, and to address the labor shortage in areas where human competence and responsibility are needed,” the Governor said.

Andrey Vorobyov also noted the need to create industry standards for AI maturity and define a list of areas for AI implementation that will address everything important to people: healthcare, housing and utilities, transportation, social services, and so on. For each area, it would be advisable to create a register of effective AI solutions that are mandatory for implementation. The importance of regulations and laws that will facilitate the further development of AI was noted. It is necessary to clearly define which areas can use open-source solutions and which can only use sovereign ones.

Another key issue is the availability of digital infrastructure. Developing and training AI models requires a powerful computing base and a stable power supply. Currently, many regions are forced to rent computer rooms in data centers. A federal program for co-financing the construction of data centers is currently being proposed.

Aide to the President of the Russian Federation Alexey Dyumin announced the creation of a new Presidential Commission that will coordinate efforts in this area. He emphasized the importance of strategies for the successful implementation of AI and noted that the development of artificial intelligence is linked to state and technological sovereignty.

“As the President has said, the development of artificial intelligence is a matter of state, technological, and, in general, value sovereignty. In this regard, the head of state has instructed the creation of a Presidential Commission on the Development of Artificial Intelligence,” Dyumin said.

Deputy Prime Minister of the Russian Federation and Chief of the Government Staff Dmitry Grigorenko emphasized the growing role of artificial intelligence in everyday life and the country’s economy and outlined priority areas for its legislative regulation.

“Considering that the application of AI affects all sectors of the Russian economy, the state must mitigate and regulate risks wherever they exist. We have identified five to seven areas that we are currently working on, where legislative regulation of activities related to the use of artificial intelligence is necessary,” Grigorenko noted.

Yuri Hohlov, Chairman of the Board of Directors of the Institute of the Information Society, participated in the Commission meeting.

For more information about the event, please visit the Moscow Region Government website.

The additional issue of the Information Society Journal for 2025 is published. The main theme of the issue is Sectoral Digital Development International Experience and National Practice. Part 2. The first part of this issue was published in December 2024.

This issue concludes the publication of the main results from the three-year (2021–2023) research efforts in scientific-methodological and applied economic studies on sectoral digital transformation. The first issue on this topic was published in December 2024.

Modeling Digital Development Processes
Digital Competencies of Employees
Financing Digital Development
Production of Domestic Digital Solutions
Digital Technologies for Sectoral Development

In his address to readers, the issue’s editor Yuri Hohlov wrote:

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This thematic issue of the Information Society journal concludes the publication of the main findings of three years of scientific, methodological, and applied economic research (2021–2023) on the digital transformation of various fields of activity. This research was conducted by staff of the All-Russian Foreign Trade Academy, together with experts from the Institute of the Information Society, on assignment from the Ministry of Economic Development of the Russian Federation. The first issue on this topic was published in December 2024.

The issue opens with an article devoted to modeling digital development processes as an innovative two-stage process influenced by factors within the internal environment of organizations in specific fields of activity and their external environment. The chosen approach allows us to consider digital development as a set of process and product innovations based on digital technologies. This, in turn, opens the possibility of systematizing and applying the results and methods of various disciplines to the construction of digital development models.

The following two articles examine the influence of factors such as the level of digital competencies of personnel and the financial support for digital development processes in a specific field of activity on digital development. These supplement the publications from the previous issue, which analyzed other technological and non-technological factors. The availability of official statistical data (even if limited) allowed us not only to construct conceptual frameworks for monitoring and assessing the impact of various factors on the digital development of a particular field of activity but also to pilot-test the developed tools, confirming the viability of the chosen approach.

One of the central articles in the issue is devoted to the production of digital products (goods and services), without which digital development is impossible in any field of activity. For Russia, under international pressure and sanctions imposed by Western countries, the production of domestic digital products has become a priority. Therefore, the article places additional emphasis on developing a methodology for monitoring and assessing the scale of domestic digital production, its competitiveness (including internationally), and its development potential.

Finally, the concluding article, based on the available data and the developed conceptual framework, provides a detailed analysis of the use of digital technologies both in the internal business processes of organizations in this field of activity and in interactions with external counterparties. The system for monitoring and evaluating digital development processes presented in the authors’ publications is universal in nature and provides effective feedback for targeted progress toward achieving national development goals for both the country as a whole and for individual areas of activity.

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The full text of the issue can be found on the journal’s website.

Please meet the fourth issue of the scientific and analytical journal “Information Society” for 2025. The main theme of the issue is Sociocultural features of digital transformation.

The articles in this issue cover, among others, the following topics:

Digital transformation of economic management
Specialization of digital ecosystems
The information mission of money
Teaching media communications in Russian universities
Network analysis in organizational behavior
Modern methods of digital demography
Use of AI in law
Structure of the domestic video game market
Multi-agent processing of natural language elements
UAVs for environmental pollution monitoring
Implementation of digitalization in Kenya

In her address to readers “2025: Summa summarum”, the journal’s editor-in-chief Tatiana Ershova wrote:

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Following a long-established tradition, we summarize our editorial activities at the end of the year. Let’s start by noting that during the calendar year 2025, we received 174 submissions, 104 of which were accepted, 62 were rejected, and 8 are still in progress. The acceptance rate is 62%, while the rejection rate is 38%, with 18% rejected immediately and 20% after peer review. These figures have been quite stable in recent years and demonstrate, firstly, the high interest in our journal, secondly, our strict requirements for the design and presentation of submissions, and thirdly, our consistently thorough selection process based on peer review.

During the year, 96 articles were published, the vast majority of which were accepted in 2024. Today, the backlog for publication of submissions that have passed all stages of editorial review has grown to 12 months. The reason is the same as last year: against the backdrop of political events in recent years, which have hampered the participation of Russian researchers in international publishing, the flow of articles to our editorial office has increased significantly, while the stated size of our editorial portfolio is limited by commitments.

This past year, the journal published papers across a wide range of research areas. The largest number of papers fell under the “Digital Economy” section (18), followed by “Information Society Technologies” (11), “Education in the Information Society” (8), and “Information Society and Law” (7). Six articles each were published under the sections “Fundamental Research in the Area of the Information Society,” “Human in the Information Society,” “Measuring the Information Society,” and the new section “Use of Information Society Technologies.” Four articles each were included in the sections “Socioeconomic Aspects of the Information Society,” “Information Society and Government,” and “Information Society and the Media.” The remaining sections each contained one or two articles.

The number of our authors in 2025 was 170, an all-time high in the journal’s 36-year history. 98 authors were from Moscow, 14 from St. Petersburg (two of whom were graduate students from China), nine from Nalchik, eight from Ufa, six from Vologda, five from Vladivostok and Kazan, four from Izhevsk and Samara, three from Yekaterinburg and Nizhny Novgorod, two from Nizhnevartovsk, Novokuznetsk, and Perm, and one from Krasnoyarsk, Omsk, Ryazan, Smolensk, and Sochi.

Among the 2025 authors were 49 doctors of science and 75 candidates of science. 32 authors hold the academic title of professor, and 39 — the title of associate professor. The author teams also included 19 specialists without academic degrees, 17 graduate students, 3 master’s students, 2 bachelor’s students, 9 undergraduate students, and even one high school student (co-authored with a candidate of science). One of this year’s authors is an Honored Scientist of the Russian Federation, and eight are members of our editorial board.

The results of our editorial work can, without exaggeration, be called convincing, and all this is thanks to our wonderful authors and reviewers, to whom we sincerely thank and congratulate them on the upcoming New Year. We also sincerely congratulate all our readers and wish them all the best in the New Year!

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The full text of the issue can be found on the journal’s website.

Dear colleagues, partners, and friends!

The IIS team congratulates you on the upcoming year 2026 and wishes you new successes, new hopes and achievements in the new year.

We wish you all strong health, personal happiness and optimism!

Happy holiday and fruitful vacations!