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ИСТОЧНИКИ НОВЫХ ИНДУСТРИЙ. ВЫПУСК 3. ИСКУССТВЕННЫЙ ИНТЕЛЛЕКТ В ПРОМЫШЛЕННОСТИ Экспертно-аналитический доклад
2022.
Васеев И. Е., Княгинин В. Н., Липецкая М. С., Семенова М. А., Харитонов М. А., Годунова Е. А.
Academic editor: Уткин Л. В., А. В. Бухановский
This report was prepared jointly by the Center for Strategic Research “North-West” and the Innovations and Youth Initiatives Support Fund of St. Petersburg and the Association “Artificial Intelligence in Industry” with the support of the Government of St. Petersburg. The basis was the Foresight project “Frontiers in New Sciences”. The aim of the project was to identify longterm trends and prospects for the development of new industrial and technological markets; to identify on this basis the most promising areas of research and development in the so-called “frontier” areas of R&D — advanced chemistry, synthetic biology, artificial intelligence and environmentally friendly industrial technologies. The methodological basis of the project is based on the analysis of the results of a foresight session with the participation of leading and young scientists, the processing of scientific data, a series of interviews with leading researchers, the evaluation of strategies of large industrial concerns. The report consists of four sections, which include: — risks of AI industry development in the current environment; — the impact of artificial intelligence technologies on the current technological paradigm and modes of production; — necessary measures to launch programs for the reengineering of AI hardware and software; — St. Petersburg's role as a center of expertise in artificial intelligence. The report describes the main factors in the development of advanced AI technologies: 1) one of the most important growth drivers of the artificial intelligence market is manufacturing; 2) the main frontier tasks for AI science lie in the area of computing and data handling; 3) development of AI technologies in Russia depends on the availability of its own hardware and software. The results of the project formed the basis of the activities of the Association “Artificial Intelligence in Industry”.
Morozkina A., Есаян М. А., Контуры глобальных трансформаций: политика, экономика, право 2025 Т. 18 № 4 С. 169–190
In the context of budget constraints, the allocation of development finance is one of the important research questions. This article proposes a study of the allocation of sovereign financing in the Eurasian region in 2008-2022 using new data (the Eurasian Fund for Stabilization and Development (EFSD) sovereign financing database). The analysis shows that the most ...
Added: August 31, 2026
СПб.: Издательство СПбГЭУ, 2025.
Вашему вниманию предлагается 19-й ежегодный сборник научных статей по вопросам региональной экономики и территориального развития.
Несмотря на сложное положение в экономике, продолжает развиваться межрегиональное сотрудничество регионов СЗФО. Активно взаимодействуют Санкт-Петербург и Ленинградская область в части развития единого транспортно-логистического комплекса. Идет формирование единого рынка труда на основе баланса трудовых ресурсов города и области. Разрабатывается единая схема размещения ...
Added: August 31, 2026
Asemota M. O., DISCOVER ARTIFICIAL INTELLIGENCE 2026 Vol. 6 Article 892
Artificial intelligence (AI) is reshaping work and human resource management, yet existing reviews largely treat competencies as secondary outcomes of AI adoption and offer limited theory-driven integration of how competency management itself is transforming. This study addresses that gap by systematically examining how competency management has evolved in AI-enabled contexts, how dominant theories explain AI-driven ...
Added: August 31, 2026
DISCOVER ARTIFICIAL INTELLIGENCE 2026 Vol. 6 Article 892
Artificial intelligence (AI) is reshaping work and human resource management, yet existing reviews largely treat competencies as secondary outcomes of AI adoption and offer limited theory-driven integration of how competency management itself is transforming. This study addresses that gap by systematically examining how competency management has evolved in AI-enabled contexts, how dominant theories explain AI-driven ...
Added: August 31, 2026
Petrov I., Journal of Economic Interaction and Coordination 2026
This paper studies a social-norm model in which agents choose effort in response to their own productivity and the efforts of their neighbours. We analyse how links between groups with different productivity levels affect equilibrium effort and derive the intergroup linking intensity that maximises aggregate effort. We work in a stylised two-group stochastic block setting ...
Added: August 30, 2026
Svetlana Grigorieva, Narmin Isaeva, Aliya Azizova et al., Journal of Corporate Finance Research 2026 Vol. 20 No. 1 P. 75–84
This paper identifies the determinants of green bonds on global markets, China and Russia and evaluates the hedging effect of these instruments. We contribute to the existing literature by (1) studying the emerging markets such as Russia and China, (2) providing comparative analysis of the impact of identical factors on green bond yields on global, ...
Added: August 29, 2026
Финагин М. И., Мирошниченко Д. В., Прикладная эконометрика 2026 Т. 82 С. 105–123
We construct a monthly indicator and produce a nowcast of nominal GDP in Russia using operational
data. The data used are bank statements and the ruble price of Russian oil. This approach
allows for the nowcast of nominal GDP ahead of official statistics by 3–5 months. Nominal GDP
data is published by Rosstat only on a quarterly basis ...
Added: August 28, 2026
Simachev Y. V., Ruzhanskaya L., Саблин К. С., ЭКО 2026 № 4 С. 55–82
Energy security concerns, environmental constraints, and competition
with other energy sources—combined with the disruption of established global value
chains—are forcing Russian coal companies to undergo transformation. Based on an
analysis of statistical data and the results of in-depth interviews with experts conducted
from August 2024 to January 2025, this study identifies the main challenges facing
the development of Russia’s coal ...
Added: August 28, 2026
Shchennikova I., Закон 2026 № 8 С. 84–93
Digital twin technology is widely used in various sectors of the economy, modeling subjects and objects based on data about them and the environment surrounding them. In the broadest sense, the goal of a digital twin is to solve a problem including the problem of studying of the modeled subject or object and ensuring its ...
Added: August 28, 2026
Kazun A., Девятников В. Ю., Белов М. Д., Вопросы теоретической экономики 2026 Т. 3 № 32 С. 115–135
Как понять, хорош адвокат или нет? В данной статье мы описываем методологию, позволяющую измерять качество юридической помощи через разницу между тем, что предсказывает модель машинного обучения по объективным характеристикам дела, и тем, чем дело закончилось в реальности. Мы исходим из предпосылки, что если у адвоката дела стабильно заканчиваются лучше ожидаемого, то он делает свою работу хорошо. ...
Added: August 28, 2026
Лескина Э. И., Журнал российского права 2026 Т. 30 № 8 С. 137–154
The transition to a data economy has allowed us to take a fresh look at such an asset as data, which is called a new fuel, a new asset, a new currency. Data is valuable, and its value can be expressed in monetary terms. This affects the data economy, digital sovereignty, and the distribution of ...
Added: August 27, 2026
Melnik D. V., Вопросы теоретической экономики 2026 № 3 С. 65–82
Luigi Einaudi (1874–1961) was a prominent economist who made theoretical contributions to the Italian school of public finance, an influential professor, a brilliant publicist, and an outstanding statesman who served as president of the nation from 1948 to 1955, and whose activities laid the foundations for the institution of the presidency of the Italian Republic. ...
Added: August 27, 2026
Lysenok N., Финансовый журнал 2026 Т. 18 № 4 С. 45–63
The article discusses the application of clustering methods to form an optimal investment portfolio
that allows the investor to achieve an effective risk-reward ratio. Three popular clustering methods,
K-Means, MeanShift, and DBSCAN, are examined. The article focuses on the DBSCAN clustering method
and highlights its advantages over other clustering methods in the context of financial data analysis.
DBSCAN is ...
Added: August 27, 2026
Panova A., Ostrovnaya M., Demokratizatsiya: The Journal of Post-Soviet Democratization 2026 Vol. 34 No. 2 P. 199–226
Local authorities can crucially affect the economic performance of public organizations. Using data on the Moscow region, we analyze the unique case of a huge, socio-economically homogeneous region with differing political environments. We examine how the political characteristics of local authorities influence state schools’ decisions on whether to outsource non-core activities, in this case food ...
Added: August 27, 2026
Шарко О. В., Шарко Е.Р., Маркетинг в России и за рубежом 2026 Т. 2 № 172 С. 71–79
The paper analyses scholarly understanding of consumer behaviour in e-commerce by synthesizing recent advances in digital marketing, the dynamics of online retail platforms, and empirical models of customer interaction. The research outcomes include a detailed comprehension of the mechanisms underlying customer loyalty, empirical data on the multidimensional factors influencing platform preferences, and methodological innovations applicable ...
Added: August 26, 2026
Keldina L., Ивашечкина Л. Г., Жаринов В. В. et al., М.: КноРус, 2023.
Материал излагается с учетом современных тенденций в организации и ведении бухгалтерского учета экономическими субъектами Российской Федерации. В каждом разделе содержится теоретический и практический материал, нормативная база, рисунки, схемы и
таблицы. Теоретический материал представлен как в традиционном виде, так и в виде схем. Каждый раздел завершается контрольными вопросами, тестами и заданиями для самоконтроля. Приложения содержат иллюстративный материал: ...
Added: August 26, 2026
Lysenok N., International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 18s P. 1406–1430
A volatility forecast becomes useful only after it has passed through four stages: a model produces it, a trading rule consumes it, a portfolio aggregates the result, and an investor evaluates that result against a utility function. Each stage has its own mature evaluation apparatus, and each is studied in isolation. This review traces the ...
Added: August 23, 2026
Parshakov P., Humanities and Social Sciences Communications 2026 Vol. 13 No. 1 P. 1–7
This study investigates gender‑based disparities in viewership and prize money within Counter‑Strike: Global Offensive competitions, using data from the ESL Impact League (female‑only) and comparable male leagues. Because esports performance depends chiefly on strategic choices and fine motor skills rather than physical strength, this setting offers a distinctive lens for examining gender equity where bodily ...
Added: August 22, 2026
Астафьева Е.В., Турунцева М. Ю., Экономический журнал Высшей школы экономики 2021 Т. 25 № 1 С. 65–101
В основе принятия своевременных экономико-политических решений и бизнес-планирования лежит мониторинг текущей ситуации и прогнозирование путей развития экономической активности, базу которых составляют официальные статистические оценки значений различных показателей. В этой связи переоценка данных и прогнозы, основанные на более ранних либо поздних оценках, потенциально могут повлечь за собой совершенно различные экономико-политические решения. Согласно официальной методике Росстата, публикуется ...
Added: August 21, 2026
Иноземцев М. И., Степанов С. К., Закон 2026 № 7 С. 193–203
In 2022, the European Commission introduced a draft directive on liability for harm caused through the use of artificial intelligence systems. The hallmark of the proposal lies in its decision to retain a fault-based liability regime, even when harm arises in connection with the deployment of AI technologies. The draft further includes several procedural mechanisms ...
Added: July 27, 2026
Лескина Э. И., Вестник Воронежского государственного университета. Серия: Право 2026 Т. 65 № 2 С. 100–111
Society increasingly relies on generative artificial intelligence models, which are used in many areas and have become an integral part of the lives of various social groups. The exponential growth of data, however, cannot meet the ever-growing demand for training artificial intelligence models. A relatively new way to overcome the shortage of training data is ...
Added: July 2, 2026
Ovcharova E., Звягинцев С. Е., Законодательство 2026 № 6 С. 41–45
The authors draw on the French experience of cautiously implementing artificial intelligence technologies in financial control. The article also provides a general overview of trends in the Russian legal framework for financial control in the context of the digital transformation of public administration. They propose strengthening legal guarantees for regulated entities. ...
Added: June 17, 2026
Orazmetova Dilara, Zhohov A., Vasilieva Sofia et al., , in: 2026 28th International Conference on Digital Signal Processing and its Applications (DSPA).: IEEE, 2026. P. 1–5.
The article presents a software-hardware approach for an intelligent camera trap designed for the automatic detection of stray animals in a video stream using digital image processing methods and neural network algorithms implemented on an embedded computing platform. The system architecture, video signal processing algorithms, features of adapting a neural network model to conditions of ...
Added: June 7, 2026
Volodin A., Вестник Пермского университета. Серия: История 2025 № 2 С. 87–100
Статья посвящена осмыслению трансформации методологии исторической науки под влиянием «цифрового поворота», с фокусом на ключевую дисциплину ‒ источниковедение. Автор исследует, как стремительное развитие технологий искусственного интеллекта (ИИ), особенно машинного обучения, ставит перед исследователями-историками новые вызовы и открывает возможности, требуя переосмысления традиционных практик работы с историческими источниками. Центральной проблемой статьи является процесс перехода от исторического источника ...
Added: June 5, 2026