Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic Developments

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Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic Developments

Issue 53. Springer, 2022.

Under the general editorship: Zaramenskikh E., A. Fedorova

This book gathers the papers on digitalization of society, economics and management in post-pandemic period. It shares the latest insights into various aspects of the digitalization of the economy and the consequences of transformation in public administration, business and public life. Integrating a broad range of analytical perspectives, including economic, social and, technological, this interdisciplinary book is particularly relevant for scientists, digital technology users, companies and public institutions.

Supply Chain Design Approach Based on Composite Simulation Models

Lychkina N. N., Zakhodiakin G., Morozova Y. A., , in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic DevelopmentsIssue 53.: Springer, 2022. Ch. 8 P. 115–132.

Added: October 12, 2021

Explaining the IT Value Through the Information Support of Decision-Making

Zelenkov Y., , in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic DevelopmentsIssue 53.: Springer, 2022. P. 29–48.

Added: April 18, 2022

A Practical Study of Process Mining from Event Logs Using Machine Learning and Petry Net Models.

Nikitina V., Panfilov Peter, , in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic DevelopmentsIssue 53.: Springer, 2022. Ch. 13 P. 173–185.

Added: April 22, 2022

Research of Correlation Dependencies in Russian Household Data Using Data Mining Methods

Usachev V., Brus V., Voronova L. et al., , in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic DevelopmentsIssue 53.: Springer, 2022. P. 151–161.

Added: June 24, 2022

Strategic Integration of Alignment Models for the IT-Business Misalignment Detection and Redress

Aseeva N., Babkin E., Malyzhenkov P. V. et al., , in: Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic DevelopmentsIssue 53.: Springer, 2022. Ch. 7 P. 97–113.

Added: January 26, 2023

Research target: Computer Science

Language: English

Full text

Keywords: business analysis digitalization

Digitalization of Society, Economics and Management: A Digital Strategy Based on Post-pandemic Developments

Метод кодирования голосового источника турбулентного типа на основе гибридной модели линейного предсказания

Савченко В. В., Savchenko L., Измерительная техника 2026 Т. 75 № 3 С. 105–113

Within the framework of a current area of research in the field of speech acoustics – non-invasive analysis of speech production processes – the acute problem of insufficient accuracy of parametric methods for coding a turbulent (noise) type voice source is considered. In order to overcome this problem, a method for coding a sound source with increased ...

Added: September 11, 2026

What Do Text-to-Image Models Know About the Languages of the World?

Фирсанова В. И., Journal of Mathematical Sciences 2024 Vol. 285 No. 1 P. 112–125

Text-to-image models use user-generated prompts to produce images. Such text-to-image models as DALL-E 2, Imagen, Stable Diffusion, and Midjourney can generate photorealistic or similar to human-drawn images. Apart from imitating human art, large text-to-image models have learned to produce combinations of pixels reminiscent of captions in natural languages. For example, a generated image might contain ...

Added: September 9, 2026

Разработка интерфейса виртуального ассистента преподавателя на основе технологий вызова функций и инженерии инструкций для больших языковых моделей

Фирсанова В. И., Человек: образ и сущность. Гуманитарные аспекты 2025 Vol. 2 No. 62 P. 203–214

Abstract. The paper highlights prompt engineering in academic setting to reduce plagiarism and increase students' interest. The research problem is the lack of a unified methodology for using artificial intelligence in education. The paper aims to create a generative artificial intelligence user interface, the Virtual Teaching Assistant. Teachers were interviewed, the first collection of presets ...

Added: September 9, 2026

Анализ согласованности голосования стран ЕАЭС и ОДКБ в ГА ООН с помощью иерархической кластеризации

Вохминцев И. В., Вестник международных организаций: образование, наука, новая экономика 2026 Т. 21 № 2

The EAEU and the CSTO are Russia’s principal regional international organisations. Understanding, assessing, and analysing the foreign-policy positions of the countries that belong to them is a matter of the state’s national interests. This determines the purpose of the study: to identify the level and the form of cohesion in the voting of EAEU and ...

Added: September 7, 2026

Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach

Alshanskaia E., Portnova G., Liaukovich K. et al., Frontiers in Neuroscience 2024 Vol. 18

Added: September 7, 2026

Oil Spill Segmentation in SAR Data Using ViT-UNet: Performance and Practical Insights

Зуенко Д. О., Trofimova E., Хайдарова И., IEEE Access 2026 Vol. 14 P. 121339–121357

Oil spill segmentation in Synthetic Aperture Radar (SAR) images is limited by noisy annotations in publicly available datasets and by architectural choices that interact with label quality in opposing directions. First, we introduce a manually refined version of the Deep-SAR Oil Spill (SOS) dataset, in which 36.25% of masks are corrected for false positives, missed ...

Added: September 7, 2026

Variational representation of weighted divergencies and error exponent function

Kelbert M., Statistics 2026 Vol. 60

We present variational representations for the weighted divergencies and exponential error function, and discuss implications for the statistical inference and entropic optimal transport. ...

Added: September 7, 2026

Scalable machine learning approach to disordered s-wave superconductors

Неверов В. Д., Красавин А. В., Vagov A. et al., Physical Review B: Condensed Matter and Materials Physics 2026 Vol. 113 P. 1–6

We develop a neural network approach to solve the self-consistent Bogoliubov-de Gennes equations in strongly disordered s-wave superconductors. The method accurately reproduces inhomogeneous gap distributions and generalizes to system sizes far larger than those used in training. It reduces computational scaling from O(N6 ) to O(N2), enabling quantitative analysis of percolation phenomena and the superconductor-insulator ...

Added: September 5, 2026

On the rate of Gaussian approximation for online linear regression problems

Sheshukova M., Durmus A., Khusainov M. et al., Statistics 2026 P. 1–25

In this paper, we consider the problem of Gaussian approximation for the online linear regression task. We derive the corresponding rates for the setting of a constant stepsize and study the explicit dependence of the convergence rate on the problem dimension d and quantities related to the design matrix. When the number of iterations n is known in advance, ...

Added: September 4, 2026

Proceedings of the 42nd Conference on Uncertainty in Artificial Intelligence (UAI), PMLR Volume 337, 17-21 August 2026, KIT, Amsterdam, the Netherlands

Proceedings of Machine Learning Research , 2026.

Added: September 4, 2026

Банк в современной экономике

Soldatova A., Терновская Е. П., Мешкова Е. И. et al., М.: КноРус, 2026.

This textbook reflects the results of theoretical and practical research on the role of commercial banks in the Russian financial market. For the first time, banking is examined as a unified complex, encompassing corporate, investment, transactional, and retail banking. It summarizes the application of advanced digital technologies in banking, including decentralized finance and artificial intelligence, ...

Added: September 3, 2026

A unified frequency-domain framework for tilted slice localization and ischemic stroke detection

Khodadoust J., Kulikova S., Khodadoust F., Biomedical Signal Processing and Control 2027 Vol. 129 P. 111284–111284

Acute ischemic stroke (AIS) analysis from two-dimensional (2D) clinical imaging is hindered by uncontrolled slice tilt and geometric inconsistencies that violate the assumptions of pose-agnostic deep learning (DL) models. This paper proposes a unified geometry-aware, frequency-domain framework for tilted slice localization and ischemic stroke segmentation that explicitly decouples pose estimation from lesion analysis. The method ...

Added: September 2, 2026

Proceedings of the 2026 Fourth International Conference on Distributed Computing and High Performance Computing (DCHPC)

IEEE, 2026.

On behalf of the Organizing Committee, it is my great pleasure to extend a warm welcome to all participants of the Fourth International IEEE Conference on Distributed Computing and High-Performance Computing (DCHPC 2026), held in Tehran from May 10–11, 2026. This conference is jointly organized by the School of Computer Science at the Institute for Research in Fundamental Sciences (IPM) ...

Added: September 2, 2026

Discrete Markowitz Portfolio Optimization with Open-Source Classical and Quantum-Inspired Solvers: A Cross-Market Walk-Forward Study

S.M. Avdoshin, Patrushev K. A., Proceedings of the Institute for System Programming of the RAS 2026 Vol. 38 No. 4-2 P. 245–256

The cardinality-constrained Markowitz problem is NP-hard and traditionally solved with commercial MIQP solvers. Following the 2022 export restrictions that rendered both commercial MIQP software and cloud quantum platforms (IBM Quantum, D-Wave Leap) inaccessible from the Russian Federation, practitioners require open-source alternatives. This paper systematically compares three solver families for the discrete mean-variance problem: two open-source ...

Added: August 27, 2026

Benchmarking Synolitic Graphs for Autism Classification from Multisite Resting-State fMRI

Zaikin A., Vlasenko D., Zakharov D. et al., Diagnostics 2026 Vol. 16 No. 17 P. 1–15

Background/Objectives: Synolitic graphs (SGs) were developed for task-based fMRI, where edge weights encode the discriminative power of pairwise regional features; whether similar information can be recovered from resting-state data was untested. We benchmarked SGs for autism spectrum disorder (ASD) classification using the multisite ABIDE-I dataset (871 subjects: 403 subjects with ASD, 468 typical controls; 17 sites; CC200 atlas). Methods: Using ...

Added: August 27, 2026

Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование. Современные проблемы, приложения и проблемы истории. Материалы XXIV Международной конференции, посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова

Тула: Тульский государственный педагогический университет им. Л.Н. Толстого, 2025.

Сборник содержит материалы, представленные на XXIV Международной конференции «Алгебра, теория чисел, дискретная геометрия и многомасштабное моделирование: современные проблемы, приложения и проблемы истории», посвящённой 110-летию со дня рождения академика Юрия Владимировича Линника и 110-летию со дня рождения профессора Андрея Борисовича Шидловского и 80-летию со дня рождения профессора Геннадия Ивановича Архипова. Материалы конференции будут полезны научным работникам, ...

Added: August 27, 2026

Financial Provision of Energy Security of Regional Economy in Transition to Industry 4.0

Vagin S., , in: Industry 4.0: Exploring the Consequences of Climate Change.: Switzerland: Springer, 2021. P. 389–396.

Purpose: The purpose of the article is to study the experience and prospects of financial support for the energy security of the regional economy in the transition to Industry 4.0 in modern Russia. Design/methodology/approach: In order to test the hypothesis put forward, the article uses the methodology of economic statistics, using which regression models of financial ...

Added: August 27, 2026

Characterizing the Scheduling Performance of 5G NR Base Stations Under Signaling and Data Traffic Constraints

Eduard Sopin, Nazarin A., Begishev V. et al., IEEE Transactions on Vehicular Technology 2026 Vol. 75 No. 6 P. 10995–11007

Aimed at rate-greedy applications having extreme requirements for the data rate at the air interface, 5G New Radio (NR) systems may experience problems when the number of user equipment (UE) in the coverage of the cell increases due to limited capacity of the physical downlink control channel (PDCCH).The aim of this study is to explore ...

Added: August 26, 2026

Искусственный интеллект на рабочем месте: современное состояние исследований в социальных науках

Talakauskas D., Пути России. Журнал cоциальных и этнографических исследований 2026 Т. 4 № 3 С. 44–67

An increasing number of organizations are implementing artificial intelligence (AI) technologies into various business processes, and the number of publications addressing aspects of AI’s application in the workplace is growing rapidly. Given the uncertainty surrounding the effects of AI implementation on the labor market, the time lag associated with its integration, and the novelty and ...

Added: June 24, 2026

От фермы к фьючерсам: конкуренция, финансиализация и цифровизация в глобальных цепочках создания стоимости зерна. Экспертно-аналитический доклад

Ivanov A., Kotova D., Bovt S. et al., М.: Издательский дом НИУ ВШЭ, 2026.

This report presents the first comprehensive competition analysis of global grain value chains. It examines the market power of ABCD+ traders (ADM, Bunge, Cargill, Louis Dreyfus, et al.), financialization of grain trade, and the anticompetitive effects of digitalization. The report offers recommendations for BRICS competition authorities, including design principles for a BRICS Grain Exchange. ...

Added: June 22, 2026

Индивидуальные практики кибербезопасности: связь с социально-экономическим статусом и опытом переживания рисков

Shcherbakov R., Мониторинг общественного мнения: Экономические и социальные перемены 2026 № 2 С. 216–235

The aim of this study is to identify factors related to the use of cybersecurity practices among the Russian population. The author considers factors such as socioeconomic status (gender, age, higher education, type of settlement, and financial situation) and ex-perience of exposure to digital risk (the fact of being exposed to risks and declared con-cerns ...

Added: May 12, 2026

Цифровизация бюджетного процесса на муниципальном уровне: проблемы и перспективы развития

Rastvortseva S., Панина Екатерина Владимировна, Проблемы развития территории 2025 Т. 29 № 6 С. 81–95

In recent decades, digitalization has firmly entered the sphere of state and municipal administration, including the budget system of the Russian Federation. Currently, the concept of electronic budgeting is actively developing and being implemented both at the federal and regional levels, which is confirmed by extensive scientific research. However, the issue concerning the use of digital technologies in the ...

Added: May 8, 2026

Политические эффекты государственных цифровых платформ и сервисов в автократиях

Balayan A. A., Томин Л. В., Публичная политика 2023 Т. 7 № 1-2 С. 108–117

The paper is devoted to the study of certain aspects of the digitalization of public administration in autocracies, primarily government platforms and digital services. The analysis of the political effects of government platforms and services is carried out in the broader context of the study of new cybernetic mode of governance that complement/transform the disciplinary ...

Added: March 31, 2026

Цифровое общество: теоретическая модель и российская действительность

Smirnov A., Мониторинг общественного мнения: Экономические и социальные перемены 2021 № 1 С. 129–153

The article considers a theoretical model of digital society based on four concepts: super-connectivity, platformisation, datafication, and algorithmic governance. The model describes how the digitalisation of society deepens: from the transfer of individual practices and social interactions to a new social order based on big data. Analysis of panel data from the 2003–2018 longitudinal survey ...

Added: March 18, 2026