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“МОДЕЛИРОВАНИЕ И СИМУЛЯЦИЯ СОЦИАЛЬНО-ПОВЕДЕНЧЕСКИХ ФЕНОМЕНОВ В КРЕАТИВНЫХ СООБЩЕСТВАХ – 2022”

О конференции

Последние десятилетия для изучения проблем социальных и гуманитарных наук все чаще применяются вычислительные модели. Конференция направлена на создание площадки для открытого диалога между исследователями и практиками, заинтересованными в синтезе информатики и социально-гуманитарных наук, для привлечения внимания, признания и лучшего понимания проблем симуляции и моделирования социально-экономических процессов.

Тематика конференции

Благодаря междисциплинарной направленности конферен-ция объединяет исследователей в области социально-гуманитарных наук (например, экономики, социологии, теории организации, теории коммуникативного действия, менеджмента, социальной сложности, маркетинга и др.), исследования операций, вычислительного интеллекта, эконо-физики, агент-ориентированного моделирования, прикладной математики и т.д.

ИСТОРИЯ КОНФЕРЕНЦИИ

  • Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2019)

    Международная мини-конференция
    при поддержке EURO
    Вильнюс, Литва
    Официальный сайт
  • Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2022)

    II Международная европейская конференция
    Вильнюс, Литва
    Информационное письмо № 3
  • Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2024)

    III Международная конференция
    Харбин, Китай
    Информация появится позднее

ОРГАНИЗАТОРЫ КОНФЕРЕНЦИИ

СООРГАНИЗАТОРЫ КОНФЕРЕНЦИИ

МЕЖДУНАРОДНЫЙ ПРОГРАММНЫЙ КОМИТЕТ

Нитин Агарвал (Nitin Agarwal), Ph.D.,
Университет Арканзаса в Литл-Роке, США
Председатель

Члены Международного программного комитета

Фуад Алескеров (Fuad Aleskerov), д.т.н., проф., НИУ ВШЭ, Россия
Елена Андреева (Elena Andreeva), Ph.D., Высшая медицинская школа Ганновера, Германия
Акакий Арсенашвили (Akaki Arsenashvili), Ph.D., Тбилисский государственный университет им. Иванэ Джавахишвили, Грузия
Георгиос Артопулос (George Arthopoulos), Ph.D., Кипрский институт, Кипр
Адиль Багиров (Adil Bagirov), Ph.D., Федеральный университет Австралии, Австралия
Алексей Белянин (Alexis Belianin), Ph.D., HИУ ВШЭ, Россия
Йенс Блей (Jens Bley), Ph.D., Гамбургский университет, Германия
Харви Бреннер (Harvey Brenner), Ph.D., Университет Северного Техаса , США
Катал МакСвини Бругха (Cathal MacSwiney Brugha), Ph.D., Университетский колледж Дублина, Ирландия
Виталиюс Денисовас (Vitalijus Denisovas), Ph.D., Клайпедский университет, Литва
Дориен ДеТомбэ (Dorien DeTombe), Ph.D., Рабочая группа EURO по этике и исследованию операций, Нидерланды
Ян Джун (Yan Jun), Ph.D., Китайский университет нефти (Пекин), Китай
Исмо Копонен (Ismo Koponen), Ph.D., Хельсинкский университет, Финляндия
Сурия Кумачева (Surya Kumacheva), к.ф.-м.н., Санкт-Петербургский государственный университет, Россия
Уолтер Лил Фило (Walter Leal Filho), Ph.D., Гамбургская высшая школа прикладных наук, Германия
Нельсон Макулан (Nelson Maculan), Ph.D., Федеральный университет Рио-де-Жанейро, Бразилия
Александр Макаренко (Oleksandr Makarenko),  д.ф.-м.н., проф., Киевский политехнический институт, Украина
Владимир Мазалов (Vladimir Mazalov), д.ф.-м.н., проф., Карельский научный центр РАН, Россия
Джинан Ванг (Zhinan Wang), Ph.D., Харбинский инженерный университет, Китай
Марианна Пинг-Хуанг (Marianne Ping-Huang), Ph.D., Орхусский университет, Дания
Максим Рыбачук (Maxim Rybachuk), к.э.н., Финансовый университет при Правительстве РФ, Россия
Леонидас Сакалаускас (Leonidas Sakalauskas), Ph.D., Вильнюсский технический университет им. Гедиминаса, Литва
Светлана Щепетова (Svetlana Shchepetova), д.э.н., проф., Финансовый университет при Правительстве РФ, Россия
Роман Словинский (Roman Slowinski), Ph.D., Познаньский политехнический университет, Польша
Алина Стеблянская (Alina Steblyanskaya), Ph.D., Харбинский инженерный университет, Китай
Алексис Цукиас (Alexis Tsoukias), Ph.D., Университет Париж-Дофин, Франция
Адилсон Ксавьер (Adilson Xavier), Ph.D., Федеральный университет Рио-де-Жанейро, Бразилия

ОРГАНИЗАЦИОННЫЙ КОМИТЕТ

Леонидас Сакалаускас
(Leonidas Sakalauskas), Ph.D.,
Вильнюсский технический университет
им. Гедиминаса, Литва
Председатель

Члены Организационного комитета

Витаутас Дульскис (Vytautas Dulskis), Вильнюсский университет, Литва
Владимир Мазалов (Vladimir Mazalov), Карельский научный центр РАН, Россия
Максим Рыбачук (Maxim Rybachuk), Финансовый университет при Правительстве РФ, Россия
Леонидас Сакалаускас (Leonidas Sakalauskas), Клайпедский университет, Литва
Алина Стеблянская (Alina Steblyanskaya), Харбинский инженерный университет, Китай
Катерина Шулла (Katerina Shulla), Гамбургская высшая школа прикладных наук, Германия

ПЛЕНАРНЫЕ ДОКЛАДЧИКИ

Леонидас Сакалаускас
(Leonidas Sakalauskas), Ph.D., Вильнюсский технический университет им. Гедиминаса, Литва

Джинан Ванг
(Zhinan Wang), Ph.D.,
Харбинский инженерный университет,
Китай

Нитин Агарвал
(Nitin Agarwal), Ph.D.,
Университет Арканзаса
в Литл-Роке,
США

Владимир Мазалов
(Vladimir Mazalov), д.э.н., проф.,
Институт прикладных математических исследований, КарНЦ РАН, Россия

Уолтер Лил
(Walter Leal), Ph.D.
Гамбургская высшая школа прикладных наук,
Германия

Ярослав Сергеев
(Yaroslav Sergeyev), Ph.D.,
Университет Калабрии,
Италия

ПРОГРАММА КОНФЕРЕНЦИИ

РЕГИСТРАЦИЯ

ПРИГЛАШЕННЫЕ ЛЕКЦИИ

Chairman
  • Dorien DeTombe (International Research Society on Methodology of Societal Complexity, Netherlands)

Leonidas Sakalauskas
(Vilnius, Lithuania)

Prof. Leonidas Sakalauskas,
Vilnius Gediminas Technical University, Lithuania

Operational Research behind modeling and simulation of social-behavioural phenomena in creative societies

The application of computational models to study issues in the social sciences and humanities has been undergoing rapid development during the last decades. OR was heavily and effectively used throughout the many historical courses, emphasizing  the role of game theory and rational decision making in shaping the strategic thinking in politics and business. It is natural to assume that in the current historical time, when many delicate socio-political challenges have to be dealt with once again, it is important to resort to OR to overcome those challenges.
The operationalisation of social-behavioural phenomena, appearing in nowadays life, in order to develop a paradigm of rational choice for the efficient understanding of their nature and relevant decision making, enables bridging OR with social sciences and humanities. The creation of such a paradigm on the basis of the theory of structural equation modelling (SEM), multi-agent modelling and game theory, together with data science and mathematical sociology methods, allows the development of data-driven operationalisation for evidence-based solutions.

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Zhinan Wang
(Harbin, China)

Dr. Zhinan Wang,
Harbin Engineering University, China

Belt and Road’ modelling and simulation cases under Business statistics course framework

China’s Belt and Road Initiative (BRI) is a massive development plan in scale and scope. It aims at facilitating China’s connectivity with the rest of the world through trade, investment, and infrastructure projects. Therefore, understanding the human and social dynamics and socio-behavioral tendencies through Belt and Road development, and quantifying, and mapping the spatial-temporal distribution of environmental vulnerability caused by natural and man-made impacts are needed for understanding environmental protection and Road restoration issues. Understanding the trends in ecological, cultural and behavioural evolution and their driving factors is critical to revealing changes in ecosystem's structure and function. However, less is known about the nonlinear relationship between greening trends and statistical instrumentation.
Thus, we want to share with you HEU experience concerning new Business Statistics course implementation. In the example of a practical case concerning Belt and Road initiative development, we show for students modeling processes, the students should learn how to calculate probability and its distributions and understand their implementations. On the example of Belt and Road cases, we show the students the essential concepts of Business Statistics course, and some techniques of descriptive statistics. We focus on organizing data by visualization and analyzing data by some numerical measurements. After learning descriptive statistics, the students guided to a miraculous probability and sampling world. They are the foundation of statistical inference. We will begin with the historic outlook of probability to help us remember the probability theory. We also learn sampling to collect data and the theorems of sampling distribution. After that we finally come to the inferential statistics. Parameter estimation and hypothesis testing are the primary knowledge that we will mainly discuss. Students master how to use the sample data to estimate or to test the population with the desired reliability.

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ПЕРЕРЫВ

(S1) Models of interaction between diverse social systems – Part 1

Chairman
  • Maksim Rybachuk (Financial University, Russia)

List of participants
  • 11.20 – 11.45. Victor Byvshev (Financial University, Russia), The econometric modeling of the adaptation of the Russian economy to the sanctions of Western countries
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  • 11.45 – 12.10. Dorien DeTombe (International Research Society on Methodology of Societal Complexity, Netherlands), Compram methodology support for complex policy making
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  • 12.10 – 12.35. Artem Denisov (Kostroma State University, Russia; Saint-Petersburg Electrotechnical University, Russia), Applying improved Free Disposal Hull methodology to manage effective social development
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ПЕРЕРЫВ

(S2) Models of interaction between diverse social systems – Part 2

Chairman
  • Maksim Rybachuk (Financial University, Russia)

List of participants
  • 14.00 – 14.25. Alexandr Mishchenko (Higher School of Economics, Russia), Oleg Kosorukov (Lomonosov Moscow State University, Russia; Higher School of Economics, Russia) and Olga Sviridova (Financial University, Russia), Dynamic models of transport resources management
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  • 14.25 – 14.50. Junrui Yu (Harbin Engineering University, China), Reverse spillover effect of cross-border M & A and upgrading of manufacturing industry in global value chain
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  • 14.50 – 15.15. Maksim Rybachuk (Financial University, Russia), Behavioral model of interaction between economic agents and the institutional environment
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  • 15.15 – 15.40. Alina Steblyanskaya (Harbin Engineering University, China), China Economic Sustainable Growth and Wilderness conservation: how to stop devastated the Earth surface?
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ПЕРЕРЫВ

(S3) Structural equation modelling behind operationalization

Chairman
  • Leonidas Sakalauskas (Vilnius Gediminas Technical University, Lithuania)

List of participants
  • 16.10 – 16.35. Leonidas Sakalauskas (Vilnius Gediminas Technical University, Lithuania), Structural equation modelling behind operationalisation in the social sciences and humanities
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  • 16.35 – 17.00. Vytautas Dulskis (Vilnius University, Lithuania), Efficient Maximum Likelihood Batch Estimation With Pure Time Series Data of a One-Dimensional Cumulative Structural Equation Model
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  • 17.00 – 17.25. Mindaugas Jakutis (Vilnius University, Lithuania), Indicators of Ethnic and Civic Nationality
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ПРИВЕТСТВЕННАЯ ВЕЧЕРИНКА

РЕГИСТРАЦИЯ

ПРИГЛАШЕННЫЕ ЛЕКЦИИ

Chairman
  • Leonidas Sakalauskas (Vilnius Gediminas Technical University, Lithuania)

Nitin Agarwal
(Little Rock, USA)

Prof. Dr. Nitin Agarwal,
University of Arkansas at Little Rock, USA

Networks and Narratives Characterizing Multiplatform Influence
Campaigns to Strengthen Socio-cognitive Security

With the proliferation of smart devices, mobile applications, and social network platforms, the social side effects of these technologies have become more profound, especially in social and political disintegration. Several journalistic and academic investigations have reported that modern communication platforms such as social media are strategically used to coordinate cyber influence campaigns. Several researchers have studied these campaigns and identified various tactics, techniques, and procedures used by various online deviant groups, e.g., online propagandists groups or extremist/terrorist group sympathizers. Various social media platforms utilize research findings to detect and regulate some of these campaigns, however, the techniques that are used evolve and adapt to go undetected. This is a growing problem. This session aims to have a scientific discussion among experts who study deviant activities on social media, including but not limited to, detection of deviant/disruptive behaviors on social media; misinformation detection, identification, and dissemination; case studies of misinformation; etc.

This includes the following topics:
- Misinformation, disinformation, rumor, propaganda, influence campaign detection;
- Tactics and strategies used to conduct misinformation;
disinformation, rumor, propaganda, influence campaigns;
- Deviant behaviors on social media platforms (cyber threats, cybercrime, cyber bullying, trolling, spamming, etc.);
- Coordination campaigns;
- Cyber Flash Mobs;
- Algorithmic manipulation such as exploiting recommendation bias;
- Detection/modeling of inorganic behaviors (bots, botnets, social bots, etc.) and their evolution dynamics;
- Hate Speech (toxic, polarizing, or disruptive content);
- Computational extraction of narratives used in misinformation, disinformation, rumor, propaganda, influence campaigns.

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Vladimir Mazalov
(Petrozavodsk, Russia)

Vladimir Mazalov,
Institute of Applied Mathematical Research, KarRC of the RAS, Russia

Equilibrium in the strategic bargaining

The Rubinstein’s bargaining model, proposed in 1982, provided a convenient tool for solving game-theoretic problems about bidding by two persons with alternating offers on an infinite time axis. The main feature was the discounting factor d, which did not allow the game to last indefinitely, i.e. the closer d is to 0, the more impatient the players are and the faster they will agree to any offer. On the contrary, if the value d is close to 1, then the players are patient and will negotiate until they come to the most favorable offer for them. In [Baron, Ferejohn, 1989], a model of sequential multilateral negotiations with a majority rule was proposed. The game that was reviewed is a standard game “split the dollar”, in which n players, whose turn is chosen randomly, make suggestions on how to divide a pie of a fixed size, and agreement requires the consent of a simple majority. It is shown that a sub-game perfect equilibrium exists in the class of stationary strategies. Then, articles [Eraslan, 2002; Cho, Duggan, 2003; Banks, Duggan, 2006; Predtetchinski, 2011; Cardona, Ponsati, 2007, 2011] were devoted to the expansion of this direction for different applied problems.
We present a game-theoretic model of competitive decision on a meeting time. There are n players who are negotiating the meeting time. The players' utilities are represented by linear unimodal functions. The maximum values of the utility functions are located at the points i/(n-1), i=0,...,n-1. The final decision will be done if all participants accept the proposal. Players take turns 1, then 2, then 3, …, n. We assume that after each negotiation session, the utility functions of all players will decrease proportionally to d. We will look for a solution in the class of stationary strategies, when it is assumed that the decisions of the players will not change during the negotiation time, i.e. the player i will make the same offer at step i and at subsequent steps n+i, 2n+i, etc. We use the backward induction method. To do this, assume that player n is looking for his best responce, knowing player 1's proposal, then player (n-1) is looking for his best responce, knowing player n's solution, etc. The subgame perfect equilibrium in the class of stationary strategies is found in analytical form.

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ПЕРЕРЫВ

(S4) Complexity modelling for sustainable development goals – Part 1

Chairman
  • Alina Steblyanskaya (Harbin Engineering University, China)

List of participants
  • 11.20 – 11.45. Vladimor Bocharnikov (Pacific Geographical Institute Far-Eastern Branch, Russian Academy of Sciences, Russia), Social Code in Contradictions of the Human Civilization Model in the Digital Age: Does Sustainable Development Goals will Work?
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  • 11.45 – 12.10. Boyu Liu (Jilin Railway Vocational University, China), China’s urban sustainable transportation policy under the goal of “carbon peaking and carbon neutrality”
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  • 12.10 – 12.35. Danial Shafique (Harbin Engineering University, China), Carbon Dioxide Emissions Reduction Efficiency and Growth Potential (A Case of Pakistan and China)
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  • 12.35 – 13.00. Saqib Jawad (Harbin Engineering University, China), A Study on the Impact of Mechanism of “Belt and Road Initiative” on the Sustainable Development of the China Pakistan Economic Corridor
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ПЕРЕРЫВ

(S5) Complexity modelling for sustainable development goals – Part 2

Chairman
  • Alina Steblyanskaya (Harbin Engineering University, China)

List of participants
  • 14.00 – 14.25. Jun Yan (China University of Petroleum (Beijing), China), The efficiency and resilience of China economy under the biophysical economic model point of view
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  • 14.25 – 14.50. Jialin Zhu (Jilin Railway Vocational College, China), Research on the evaluation of the core competitiveness of China Railway Companies and the promotion strategy
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  • 14.50 – 15.15. Alina Steblyanskaya (Harbin Engineering University, China), China carbon neutrality goal and growth potential system modeling
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  • 15.15 – 15.40. Maksim Vaslev (Harbin Engineering University, China), How Coronavirus Pandemics (COVID-19) Influences Chinese Economic Sustainability
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ПЕРЕРЫВ

(S6) Statistical Data Analysis in Social Research

Chairman
  • Daiva Bubelienė (Kaunas University of Applied Sciences, Lithuania)

List of participants
  • 16.10 – 16.35. Daiva Bubeliene (Kaunas University of Applied Sciences, Lithuania) and Gediminas Merkys (Vytautas Magnus University, Lithuania), Quantification of textual responses to open-ended questions in Big Data projects
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  • 16.35 – 17.00. Gediminas Merkys (Vytautas Magnus University, Lithuania) and Daiva Bubeliene (Kaunas University of Applied Sciences, Lithuania), Likert Means versus Yes Percentages? Optimal representation of survey results at the level of psychometric scales
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  • 17.00 – 17.25. Timofei Nestik (Institute of psychology, Russian Academy of Sciences, Russia), Vladimir Bochkarev (Kazan Federal University, Russia) and Vera Levina (Peoples’ Friendship University of Russia, Russia), Dynamics of the long-term orientation in Russian society over the past 100 years: results of the analysis of the Russian subcorpus of Google Books Ngram
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УЖИН ДЛЯ УЧАСТНИКОВ КОНФЕРЕНЦИИ

РЕГИСТРАЦИЯ

ПРИГЛАШЕННЫЕ ЛЕКЦИИ

Chairman
  • Gerhard-Wilhelm Weber (Poznan University of Technology, Poland)

Walter Leal
(Hamburg, Germany)

Prof. Dr. Walter Leal,
Hamburg University of Applied Sciences, Germany

Education for sustainable development: trends and perspectives

The presentation will outline the importance of and relevance of sustainable development for higher education institutions, and outlines some of the steps which are being taken, to include it as part of university programmes.

Yaroslav Sergeyev
(Rende, Italy)

Prof. Dr. Yaroslav Sergeyev,
University of Calabria, Italy

Numerical infinities and infinitesimals
How primitive counting systems can change our perception of Infinity

In this lecture, some classical paradoxes of infinity such as Galileo’s paradox, Hilbert’s paradox of the Grand Hotel, and the rectangle paradox of Torricelli are considered. It is shown that the surprising counting systems of Amazonian and Australian tribes, working with only three numerals (one, two, many) can help us to change our perception of these paradoxes. A recently introduced methodology allowing one to work with finite, infinite, and infinitesimal numbers in a unique computational framework not only theoretically but also numerically is briefly described (see [1]). This methodology is actively used nowadays in numerous applications in pure and applied mathematics and computer science as well as in teaching (see, e.g., [1-3]). This methodology gives the possibility to consider the paradoxes listed above in a new constructive light (see, e.g., [4,5]) showing so that even primitive cultures can give rise to very interesting developments in the modern sophisticated cultural and scientific life.
The Infinity Calculator using the Infinity Computer technology (patented in several countries) is presented during the talk. Reviews, videos, more than 60 papers of authors from several research areas using this methodology in their applications can be downloaded from http://www.theinfinitycomputer.com. The web page https://www.numericalinfinities.com developed at the University of East Anglia contains materials related to teaching this methodology in colleges in UK and Italy.

Selected references

  1. Sergeyev Ya.D. (2017). Numerical infinities and infinitesimals: Methodology, applications, and repercussions on two Hilbert problems, EMS Surveys in Mathematical Sciences, 4(2), 219–320.
  2. Sergeyev Ya.D., De Leone R. (eds.). (2022). Numerical Infinities and Infinitesimals in Optimization, Springer.
  3. Nasr L. (2022). The effect of Arithmetic of Infinity Methodology on students’ beliefs of infinity, Mediterranean Journal for Research in Mathematics Education, 19, 5-19.
  4. Rizza D. (2018). A study of mathematical determination through Bertrand’s Paradox, Philosophia Mathematica, 26(3), 375–395.
  5. Sergeyev Ya.D. (2022). Some paradoxes of infinity revisited, Mediterranean Journal of Mathematics, 19, article 143.

ПЕРЕРЫВ

(S7) Evidence-based modeling

Chairman
  • Vladimir Gisin (Financial University, Russia)

List of participants
  • 11.20 – 11.45. Vladimir Gisin (Financial University, Russia), Efficient market hypothesis, efficient computability hypothesis and Minsky’s financial instability hypothesis (EMH, P=NP, FIH)
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  • 11.45 – 12.10. Olga Pyrkina (Financial University, Russia) and Andrey Yudanov (Financial University, Russia), Free-rider Problem: Simulating of System Convergence to Stable Equilibrium State by Means of Finite Markov Chain Models
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  • 12.10 – 12.35. Mingzhen Huang (Harbin Engineering University, China), Will the "failure tolerance" of executives affect the total factor productivity of enterprises —— On the adjustment effect of board structure
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  • 12.35 – 13.00. Changxu Duan (Harbin Engineering University, China), Research on prediction of highly cited papers based on PCA-BPNN
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ПЕРЕРЫВ

(S8) Behavioral Game Theory

Chairmen
  • Vladimir Mazalov (KarRC of the RAS, Russia)
  • Suria Kumacheva (St. Petersburg State University, Russia)

List of participants
  • 14.00 – 14.25. Denis Kuzyutin (St. Petersburg State University, Russia; Higher School of Economics, Russia), Nadezhda Smirnova (Higher School of Economics, Russia; St. Petersburg State University, Russia) and Elizaveta Tantlevskaya (St. Petersburg State University, Russia), Modelling of cooperative behavior in multistage game of renewable resource extraction
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  • 14.25 – 14.50. Olga Gorbaneva (Southern Federal University, Russia) and Guennady Ougolnitsky (Southern Federal University, Russia), Cognitive Simulation Model of the Regional Education System
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  • 14.50 – 15.15. Gerhard-Wilhelm Weber (Poznan University of Technology, Poland). A Dynamic Programming Approach for a Nonzero Sum Stochastic Differential Game Problem
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ПЕРЕРЫВ

(S9) Modelling of Complex Societal Problems

Chairman
  • Leonidas Sakalauskas (Vilnius Gediminas Technical University, Lithuania)

List of participants
  • 16.10 – 16.35. Suriya Kumacheva (St. Petersburg State University, Russia), Ekaterina Zhitkova (St. Petersburg State University, Russia) and Galina Tomilina (EPAM System Inc., Russia), Attitudes to Vaccination: How the Opinion Dynamics Affect the Influenza Epidemic Process
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  • 16.35 – 17.00. Alexander Makarenko (National Technical University of Ukraine (Igor Sykorski Kiev Politechnic Institute), Ukraine) Operational Research for Sustainable Development in Usual and Crisis Situations of Social Systems
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  • 17.00 – 17.25. Vladislav Taynitskiy (St. Petersburg State University, Russia), Elena Gubar (St. Petersburg State University, Russia), Laura Policardo (The Customs and Monopolies Agency (Agenzia delle Dogane e dei Monopoli), Sesto Fiorentino, Italy) and Edgar J. S´anchez Carrera (University of Urbino Carlo Bo, Italy; Autonomous University of Coahuila, Mexico), Optimal lockdown policies in epidemic processes with demographic structure
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  • 17.25 – 17.50. Vitalij Denisov (Klaipeda University, Lithuania), Aiste Dirzyte (Mykolas Romeris University, Lithuania) and Leonidas Sakalauskas (Klaipeda university, Lithuania), Modelling of Anxiety Spread During Pandemics
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ИТОГОВАЯ ДИСКУССИЯ И ЗАКРЫТИЕ КОНФЕРЕНЦИИ

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ИНФОРМАЦИЯ О ПУБЛИКАЦИЯХ

Мы призываем как уже состоявшихся, так и молодых ученых, которые занимаются разработками в области исследования операций, построением компьютерных моделей в социально-гуманитарных науках и поиском оптимальных решений, представить свою работу для обсуждения, а также принять участие в семинарах, посвященным актуальным темам симуляции и моделирования социально-поведенческих феноменов в креативных сообществах.

Материалы конференции опубликованы в сборнике трудов Springer серия “Communications in Computer and Information Science” (CCIS).

Бесплатный онлайн-доступ активирован на период с 7 июня 2023 г. по 8 июля 2023 г.

СКАЧАТЬ МАТЕРИАЛЫ КОНФЕРЕНЦИИ

Участники конференции могут подать статьи по тематике конференции для публикации в специальном выпуске журнала Mathematics (MDPI).

Также планируется издание коллективной монографии по тематике конференции, которая будет опубликована в одном из международных издательств. Название и содержание книги будут объявлены до конференции.

ТРАНСЛЯЦИЯ КОНФЕРЕНЦИИ

АДРЕС ПРОВЕДЕНИЯ


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