Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах - Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах

Track A
Track B

08.10 - 14.00

Registration

Venue: Information Resource Center

9.00 - 10.50

Invited Lectures

Venue: Faculty of Uzbek Philology, room 105

Chairman

Nilufar Abdurakhmonova (National University of Uzbekistan, Uzbekistan)

09.00 - 09.55

Vladimir Mazalov
(St. Peterburg, Russia)

Prof. Dr. Vladimir Mazalov,
St. Peterburg State University, Russia

ALTRUISTIC BEHAVIOR IN GAME-THEORETIC ENVIRONMENTAL MODELS

We consider a game-theoretic environmental model described by a differential game with an infinite horizon. The traditional approach is that players are rational and use selfish behavior that maximizes their personal winnings. But the selfish behavior of the players can have a negative impact on the environment. The reason is the limited supply of resources, which is influenced by all players (the tragedy of communs). We propose the concept of altruistic equilibrium in a differential game related to environmental issues and compare them with the Nash equilibrium. We assume that the players are connected by some network structure. According to the concept of altruistic equilibrium, players can offset a portion of other players' related payoffts with a portion of their own profits. We conduct numerical simulations and demonstrate the effectiveness of this approach in solving problems related to the use of natural resources related to the exploitation of natural resources.

09.55 - 10.50

Lina Volodzkienė
(Vilnius, Lithuania)

Prof. Dr. Lina Volodzkienė,
Faculty of Public Governance and Business, Mykolas Romeris University, Lithuania

STRENGTHENING HUMAN AND SOCIETAL RESILIENCE IN UNCERTAIN TIMES

Recent crises have shown that the same shock can have very different consequences across societies. Some recover relatively quickly, while others face lasting losses in human development, widening inequalities, and new forms of vulnerability. These differences cannot be explained by economic prosperity alone. They raise a broader question of resilience: what enables societies not only to withstand disruption, but also to adapt, learn, and continue developing when uncertainty persists? This question is becoming increasingly important as multiple overlapping crises reinforce one another. Under such conditions, resilience depends not only on economic resources, but also on human capabilities and opportunities, access to essential services, social cohesion, and the capacity of institutions to respond to change. Comparative analysis of country clusters shows that resilience is not evenly distributed. Yet the findings also show that being more developed does not automatically mean being more resilient. Inequality changes this picture considerably: when differences in the distribution of health, education, and income are taken into account, the actual gains in human development are significantly reduced, particularly in less developed country groups. At the same time, countries with the highest levels of human development tend to place greater pressure on the planet. This reveals an important paradox: development can strengthen the capacity to cope with some shocks while creating new vulnerabilities and risks for the future. These findings point to resilience as a capacity that is built over time rather than activated only when a crisis occurs. This also changes the role of public policy. Policy cannot focus only on managing the consequences of crises; it needs to create the conditions for resilience before crises occur by addressing the foundational vulnerabilities outlined above. The challenge is not to eliminate uncertainty, but to prevent it from repeatedly turning into lasting human and societal vulnerability.

10.50 - 11.20

Coffee Break

11.20 - 13.00

(S7-A) Game-theoretic Models of Social Processes

Venue: Faculty of Uzbek Philology, room 105

Chairman

Vladmir Mazalov (St. Petersburg State University, Russia)
Surya Kumacheva (St. Petersburg State University, Russia)

List of participants

Denis Kuzyutin, Mariia Bulgakova, Nadezhda Smirnova, Igor Tantlevskij ON THE STABILITY OF NETWORK MODELS OF THE INTERACTION BETWEEN RELIGIOUS MOVEMENTS
Surya Kumacheva DYNAMIC MODEL OF VENTURE CAPITAL INVESTMENT
Vladislav Taynitskiy, Elena Gubar DYNAMIC CONTROL OF MULTIPLE INFECTIOUS DISEASES
Elena Gubar, Nikita Kosyanov, Vladislav Taynitskiy TWO-STAGE APPROACH FOR EPIDEMIC CONTROL UNDER RESOURCE CONSTRAINTS

13.00 - 14.00

Lunch

14.00 - 15.00

Discussion

15.00 - 15.30

Conclusions & Closing Ceremony Farewell Party

15.30 - 17.00

Excursion

08.10 - 14.00

Registration

Venue: Information Resource Center

9.00 - 10.50

Invited Lectures

Venue: Faculty of Uzbek Philology, room 105

Chairman

Nilufar Abdurakhmonova (National University of Uzbekistan, Uzbekistan)

09.00 - 09.55

Vladimir Mazalov
(St. Peterburg, Russia)

Prof. Dr. Vladimir Mazalov,
St. Peterburg State University, Russia

ALTRUISTIC BEHAVIOR IN GAME-THEORETIC ENVIRONMENTAL MODELS

We consider a game-theoretic environmental model described by a differential game with an infinite horizon. The traditional approach is that players are rational and use selfish behavior that maximizes their personal winnings. But the selfish behavior of the players can have a negative impact on the environment. The reason is the limited supply of resources, which is influenced by all players (the tragedy of communs). We propose the concept of altruistic equilibrium in a differential game related to environmental issues and compare them with the Nash equilibrium. We assume that the players are connected by some network structure. According to the concept of altruistic equilibrium, players can offset a portion of other players' related payoffts with a portion of their own profits. We conduct numerical simulations and demonstrate the effectiveness of this approach in solving problems related to the use of natural resources related to the exploitation of natural resources.

09.55 - 10.50

Lina Volodzkienė
(Vilnius, Lithuania)

Prof. Dr. Lina Volodzkienė,
Faculty of Public Governance and Business, Mykolas Romeris University, Lithuania

STRENGTHENING HUMAN AND SOCIETAL RESILIENCE IN UNCERTAIN TIMES

Recent crises have shown that the same shock can have very different consequences across societies. Some recover relatively quickly, while others face lasting losses in human development, widening inequalities, and new forms of vulnerability. These differences cannot be explained by economic prosperity alone. They raise a broader question of resilience: what enables societies not only to withstand disruption, but also to adapt, learn, and continue developing when uncertainty persists? This question is becoming increasingly important as multiple overlapping crises reinforce one another. Under such conditions, resilience depends not only on economic resources, but also on human capabilities and opportunities, access to essential services, social cohesion, and the capacity of institutions to respond to change. Comparative analysis of country clusters shows that resilience is not evenly distributed. Yet the findings also show that being more developed does not automatically mean being more resilient. Inequality changes this picture considerably: when differences in the distribution of health, education, and income are taken into account, the actual gains in human development are significantly reduced, particularly in less developed country groups. At the same time, countries with the highest levels of human development tend to place greater pressure on the planet. This reveals an important paradox: development can strengthen the capacity to cope with some shocks while creating new vulnerabilities and risks for the future. These findings point to resilience as a capacity that is built over time rather than activated only when a crisis occurs. This also changes the role of public policy. Policy cannot focus only on managing the consequences of crises; it needs to create the conditions for resilience before crises occur by addressing the foundational vulnerabilities outlined above. The challenge is not to eliminate uncertainty, but to prevent it from repeatedly turning into lasting human and societal vulnerability.

10.50 - 11.20

Coffee Break

11.20 - 13.00

(S7-B) Welfare, Finance and Attention Economies

Venue: Faculty of Uzbek Philology, room 108

Chairman

Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

List of participants

Viktoras Sakalauskas STRUCTURAL ASPECTS OF DECLINING CAPITAL EFFICIENCY
Kuanysh Sailau AUTOMATED WELFARE AND THE SOCIAL FABRIC: DIGITAL IDENTITY, ALGORITHMIC JUSTICE, AND SOCIAL CAPITAL IN KAZAKHSTAN'S DIGITAL FAMILY CARD
Dinara Khamzina DATA-DRIVEN FISCAL RISK MATRIX FOR TAX DEBT RECOVERY
Ukamaka Orumie MODELLING ALGORITHMIC DISTRACTION AND ATTENTION ECONOMIES
Olabode Adewoye SURVEY ON MARKOV AND SEMI-MARKOV DECISION PROCESSES

13.00 - 14.00

Lunch

14.00 - 15.00

Discussion

15.00 - 15.30

Conclusions & Closing Ceremony Farewell Party

15.30 - 17.00

Excursion

Information Resource Center

18.00 - 21.00

Registration

Venue: Information Resource Center

Track A
Track B

08.10 - 16:10

Registration

Venue: Information Resource Center

09.00 - 09.10

Conference Opening & Welcome Remarks

Venue: Information Resource Center

Chairman

Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

09.00 - 09.10

Yokub Ergashov

Prof. Dr. Yokub Ergashov,
Vice-Rector for Research and Innovation
National University of Uzbekistan, Uzbekistan

09.10 - 10.50

Plenary Session

Venue: Information Resource Center

Chairman
Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

09.10 - 09.40

Ualsher Tukeyev
(Almaty, Kazakhstan)

Prof. Dr. Ualsher Tukeyev,
Faculty of Information Technology and Artificial Intelligence, Al-Farabi Kazakh National University, Kazakhstan

COMPUTATIONAL THINKING AS CREATIVE MODELING IN AI-ASSISTED INTELLIGENT PROGRAMMING

AI-assisted programming tools and large language models have fundamentally changed software development. Today, AI can generate full codebases, suggest architectures, create tests, and even assemble deployable systems from high-level prompts. While this dramatically accelerates implementation, it does not eliminate the need for structured problem formulation and model-level reasoning. This plenary lecture proposes a modeling-centered interpretation of computational thinking in the era of AI-assisted development. Rather than equating computational thinking with coding, we argue that its constructive phase lies in creative modeling—the explicit design of executable computational models grounded in domain constraints, representation choices, and validation criteria. In practice, creative modeling involves: (1) defining the problem space and non-negotiable constraints, (2) selecting or designing appropriate computational representations that explicitly encode domain structure and constraints, (3) constructing hybrid executable models, and (4) specifying validation procedures independent of implementation details. AI-assisted programming then operates as an implementation accelerator within this structured workflow. The approach is illustrated through a hybrid symbolic–neural model of Kazakh morphological structure, where constraint-aware modeling ensures structural correctness while neural components enableplenary generalization. Experimental results demonstrate that explicitly modeled constraints improve robustness and reduce structurally invalid outputs compared to unconstrained neural solutions. The lecture concludes by outlining when creative modeling becomes essential: in constraint-sensitive systems, hybrid architectures, explainable AI applications, and validation-critical domains. In such contexts, intelligent programming requires not only code generation but explicit model construction and verification. This perspective reframes the role of the human engineer: from code producer to model architect responsible for structural integrity and correctness in AI-driven systems.

09.40 - 10.10

Mersaid Aripov
(Tashkent, Uzbekistan)

Prof. Dr. Ualsher Tukeyev,
National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan

LLM FOR ASPECT-BASED SENTIMENT ANALYSIS OF UZBEK SERVICE SECTOR REVIEWS

The rapid growth of digital platforms has transformed online consumer reviews into an important source of social-behavioural data, reflecting how citizens evaluate services, express satisfaction or dissatisfaction, and communicate expectations toward businesses and institutions. In emerging digital societies, such data can support evidence-based service improvement and provide valuable insight into patterns of public perception. However, for low-resource languages such as Uzbek, the practical use of online review data remains limited by the lack of large, high-quality annotated datasets and robust language technologies. This talk addresses that gap by presenting a large language model (LLM)-driven framework for Aspect-Based Sentiment Analysis (ABSA) of Uzbek online service reviews, with a focus on the banking, retail, and HoReCa sectors. The proposed direction is closely aligned with the conference’s interest in applying computational and AI-based methods to social-behavioural phenomena. Unlike conventional sentiment analysis, which reduces reviews to broad positive or negative labels, ABSA enables a more fine-grained understanding of how users judge specific aspects of service experience, such as staff behaviour, response speed, pricing, delivery quality, product reliability, and digital interaction quality. This makes ABSA especially relevant for modelling consumer perceptions as complex social signals rather than simple emotional reactions. In multilingual and low-resource contexts, such modelling is not only a technical challenge but also a social one, because it determines whether digitally expressed public opinion can be transformed into structured knowledge for decision-making and service redesign. The Uzbek case is particularly important because it represents a growing digital market where user-generated content is increasing, while computational resources for language understanding remain underdeveloped. The proposed research framework is based on the collection and processing of more than 30,000 Uzbek-language consumer reviews from the Sharh platform. To overcome the bottleneck of manual annotation, the study employs open-source LLMs, including models such as Llama 3 and Mistral, as annotation assistants for aspect extraction and sentiment labelling.

10.10 - 10.40

Mieradilijiang Maimaiti
(Ürümqi, China)

Associate Professor, Dr. Mieradilijiang Maimaiti,
School of Computer Science, Xinjiang University, China

LARGE LANGUAGE MODELS FOR UNDER-RESOURCED LANGUAGES: FROM TEXT UNDERSTANDING TO MULTIMODAL RETRIEVAL

Large language models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing and multimodal tasks. However, their performance remains limited in under-resourced language scenarios due to insufficient training data, weak linguistic coverage, and a lack of multimodal supervision. This talk presents our recent efforts to advance LLMs for under-resourced languages in both text-only and multimodal settings. The presentation begins with a brief overview of the foundations of LLMs, examining their applications, challenges, and limitations in under-resourced NLP tasks. Subsequently, we explore recent research on LLM-based machine translation, covering instruction data construction, prior knowledge integration, chain-of-thought prompting, and linguistically aware translation strategies for under-resourced and morphologically rich languages. The focus then shifts to our recent progress in multimodal learning, highlighting the automatic construction of multimodal corpora, efficient multimodal fusion, and vision-aware retrieval mechanisms for under-resourced translation and caption generation. Finally, the discussion turns to our ongoing explorations of retrieval-augmented generation (RAG) and the development of custom large language models for multilingual understanding and generation in under-resourced languages.

10.50 - 11.20

Coffee Break

11.20 - 13.00

(S1-A) Concepts, Models and Instruments for Overcoming the Complex Societal Problems –
Part I

Venue: Faculty of Uzbek Philology, room 105

Chairman

Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

List of participants

Leonidas Sakalauskas SOCRATIZATION OF SOCIAL-BEHAVIORAL PHENOMENA
Seyed Ashkan Zarghami A NEW LOOK AT SCHISMOGENESIS THROUGH SYSTEM DYNAMICS
Rüdiger Grascht, Alexander Lavrov SIMPSON’S PARADOX IN LOGISTICS MANAGEMENT
Aivaras Žilvinskas LEGAL NIHILISM: SOURCES AND IMPLICATIONS

13.00 - 14.00

Lunch

14.00 - 15.40

(S2-A) Social Media Content Analysis and Deviant Behavior Detection – Part I

Venue: Faculty of Uzbek Philology, room 105

Chairman

Elpida Tzafestas (University of Athens, Greece)

List of participants

Elpida Tzafestas SOCIOCULTURAL INFLUENCES ON OPINION FORMATION
Valdas Dambrava SPECIFICS OF NEGATIVE HEADLINES ON LITHUANIAN NEWS PORTALS
Maria Bykova, Zhao Chi LLM-BASED SIMULATIONS OF OPINION DYNAMICS
Algimantas Kurlavicius, Leonidas SakalauskasSELF-REGULATION IN THE PUBLIC INFORMATION SPACE

15.40 - 16.10

Coffee Break

16.10 - 17.50

(S3-A) Social Media Content Analysis and Deviant Behavior Detection – Part II

Venue: Faculty of Uzbek Philology, room 105

Chairman

Konul Habibova (Linguistics Institute named after I. Nasimi of Azerbaijan National Academy of Sciences, Azerbaijan)

List of participants

Mukhammed-Ali Kumisbek SIMULATING SOCIAL ENGINEERING ATTACKS USING LLM
Konul Habibova MODELING SOCIAL CONTENT IN AZERBAIJAN FOR DETECTING LINGUISTIC MANIPULATION
Yermukhamed Moldakhan, Milana Bolatbek AUTOMATED DETECTION OF ILLICIT CONTENT USING ML
Neringa Urbonaite, Leonidas Sakalauskas A METHOD FOR FRACTAL ANALYSIS OF SOCIAL CONTENT

18.00 - 19.00

Welcome Party

08.10 - 16:10

Registration

Venue: Information Resource Center

09.00 - 09.10

Conference Opening & Welcome Remarks

Venue: Information Resource Center

Chairman

Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

09.00 - 09.10

Yokub Ergashov

Prof. Dr. Yokub Ergashov,
Vice-Rector for Research and Innovation
National University of Uzbekistan, Uzbekistan

09.10 - 10.50

Plenary Session

Venue: Information Resource Center

Chairman
Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

09.10 - 09.40

Ualsher Tukeyev
(Almaty, Kazakhstan)

Prof. Dr. Ualsher Tukeyev,
Faculty of Information Technology and Artificial Intelligence, Al-Farabi Kazakh National University, Kazakhstan

COMPUTATIONAL THINKING AS CREATIVE MODELING IN AI-ASSISTED INTELLIGENT PROGRAMMING

AI-assisted programming tools and large language models have fundamentally changed software development. Today, AI can generate full codebases, suggest architectures, create tests, and even assemble deployable systems from high-level prompts. While this dramatically accelerates implementation, it does not eliminate the need for structured problem formulation and model-level reasoning. This plenary lecture proposes a modeling-centered interpretation of computational thinking in the era of AI-assisted development. Rather than equating computational thinking with coding, we argue that its constructive phase lies in creative modeling—the explicit design of executable computational models grounded in domain constraints, representation choices, and validation criteria. In practice, creative modeling involves: (1) defining the problem space and non-negotiable constraints, (2) selecting or designing appropriate computational representations that explicitly encode domain structure and constraints, (3) constructing hybrid executable models, and (4) specifying validation procedures independent of implementation details. AI-assisted programming then operates as an implementation accelerator within this structured workflow. The approach is illustrated through a hybrid symbolic–neural model of Kazakh morphological structure, where constraint-aware modeling ensures structural correctness while neural components enableplenary generalization. Experimental results demonstrate that explicitly modeled constraints improve robustness and reduce structurally invalid outputs compared to unconstrained neural solutions. The lecture concludes by outlining when creative modeling becomes essential: in constraint-sensitive systems, hybrid architectures, explainable AI applications, and validation-critical domains. In such contexts, intelligent programming requires not only code generation but explicit model construction and verification. This perspective reframes the role of the human engineer: from code producer to model architect responsible for structural integrity and correctness in AI-driven systems.

09.40 - 10.10

Mersaid Aripov
(Tashkent, Uzbekistan)

Prof. Dr. Ualsher Tukeyev,
National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan

LLM FOR ASPECT-BASED SENTIMENT ANALYSIS OF UZBEK SERVICE SECTOR REVIEWS

The rapid growth of digital platforms has transformed online consumer reviews into an important source of social-behavioural data, reflecting how citizens evaluate services, express satisfaction or dissatisfaction, and communicate expectations toward businesses and institutions. In emerging digital societies, such data can support evidence-based service improvement and provide valuable insight into patterns of public perception. However, for low-resource languages such as Uzbek, the practical use of online review data remains limited by the lack of large, high-quality annotated datasets and robust language technologies. This talk addresses that gap by presenting a large language model (LLM)-driven framework for Aspect-Based Sentiment Analysis (ABSA) of Uzbek online service reviews, with a focus on the banking, retail, and HoReCa sectors. The proposed direction is closely aligned with the conference’s interest in applying computational and AI-based methods to social-behavioural phenomena. Unlike conventional sentiment analysis, which reduces reviews to broad positive or negative labels, ABSA enables a more fine-grained understanding of how users judge specific aspects of service experience, such as staff behaviour, response speed, pricing, delivery quality, product reliability, and digital interaction quality. This makes ABSA especially relevant for modelling consumer perceptions as complex social signals rather than simple emotional reactions. In multilingual and low-resource contexts, such modelling is not only a technical challenge but also a social one, because it determines whether digitally expressed public opinion can be transformed into structured knowledge for decision-making and service redesign. The Uzbek case is particularly important because it represents a growing digital market where user-generated content is increasing, while computational resources for language understanding remain underdeveloped. The proposed research framework is based on the collection and processing of more than 30,000 Uzbek-language consumer reviews from the Sharh platform. To overcome the bottleneck of manual annotation, the study employs open-source LLMs, including models such as Llama 3 and Mistral, as annotation assistants for aspect extraction and sentiment labelling.

10.10 - 10.40

Mieradilijiang Maimaiti
(Ürümqi, China)

Associate Professor, Dr. Mieradilijiang Maimaiti,
School of Computer Science, Xinjiang University, China

LARGE LANGUAGE MODELS FOR UNDER-RESOURCED LANGUAGES: FROM TEXT UNDERSTANDING TO MULTIMODAL RETRIEVAL

Large language models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing and multimodal tasks. However, their performance remains limited in under-resourced language scenarios due to insufficient training data, weak linguistic coverage, and a lack of multimodal supervision. This talk presents our recent efforts to advance LLMs for under-resourced languages in both text-only and multimodal settings. The presentation begins with a brief overview of the foundations of LLMs, examining their applications, challenges, and limitations in under-resourced NLP tasks. Subsequently, we explore recent research on LLM-based machine translation, covering instruction data construction, prior knowledge integration, chain-of-thought prompting, and linguistically aware translation strategies for under-resourced and morphologically rich languages. The focus then shifts to our recent progress in multimodal learning, highlighting the automatic construction of multimodal corpora, efficient multimodal fusion, and vision-aware retrieval mechanisms for under-resourced translation and caption generation. Finally, the discussion turns to our ongoing explorations of retrieval-augmented generation (RAG) and the development of custom large language models for multilingual understanding and generation in under-resourced languages.

10.50 - 11.20

Coffee Break

11.20 - 13.00

(S1-B) Large Language Models for Document Analysis and Information Retrieval

Venue: Faculty of Uzbek Philology, room 108

Chairman

Mersaid Aripov (National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan)

List of participants

Khurshidbek Kurbanov, Mersaid Aripov PRODUCTION-GRADE CONVERSATIONAL RAG SYSTEMS
Madina Mansurova, Talshyn Sarsembayeva, Nurdaulet Teshebayev, Arman Zhetessov, Tilek Izbasar, Mansur Ualitov RETRIEVAL AND REASONING LAYER FOR ABM SYSTEMS
Assem Shormakova, Ayaulim Dildabekkyzy THE ROLE OF AI AND LLM IN DOCUMENT ANALYSIS AND INFORMATION RETRIEVAL
Masud Mahmudov, Konul Habibova, Narmin Aliyeva THE NATIONAL CORPUS OF THE AZERBAIJANI LANGUAGE IN THE CONTEXT OF AI

13.00 - 14.00

Lunch

14.00 - 15.40

(S2-B) Agent-Based Modeling and Human Digital Twins

Venue: Faculty of Uzbek Philology, room 108

Chairman

Nikitas Sgouros (University of Piraeus, Greece)

List of participants

Nurdaulet Teshebayev AGENT-BASED MODELING OF KNOWLEDGE DYNAMICS WITH AGENTIC RAG
Tang Daoyun MULTIMODAL EMOTION RECOGNITION FOR DIGITAL-TWIN STATE UPDATING
Nikitas Sgouros GENERATIVE AI FOR AUTOMATIC CODE GENERATION AND ABM
Danara Kuanyshbekova AGENT-BASED DIGITAL TWIN FOR PATIENT STATE SIMULATION

15.40 - 16.10

Coffee Break

16.10 - 17.50

(S3-B) NLP and Language Technologies – Part I

Venue: Faculty of Uzbek Philology, room 108

Chairman

Nilufar Abdurakhmonova (National University of Uzbekistan, Uzbekistan)

List of participants

Nilufar Abdurakhmonova, Sevinch Kenjayeva AUTOMATIC SPELLING ERROR DETECTION FOR UZBEK
Nilufar Madetbayeva INFORMATION MODEL OF PHRASEOLOGICAL UNITS IN UZBEK
Mahliyo Eshmamatova POLYFUNCTIONALITY OF ADVERBIAL PHRASES IN UZBEK AND TURKISH
Umriniso To'rayeva MODELING BUKHARA JADID WRITERS USING AI

18.00 - 19.00

08.10 - 16:10

Registration

Venue: Information Resource Center

9.00 - 10.50

Invited Lectures

Venue: Faculty of Uzbek Philology, room 105

Chairman

Maxim Rybachuk (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia)

09.00 - 09.55

Vladimer Papava
(Tbilisi, Georgia)

Prof. Dr. Vladimer Papava,
Tbilisi State University, Georgia

ON THE THEORY OF TECHNOLOGICAL REGRESSION OF THE ECONOMY: NECROECONOMICS, ZOMBIE-ECONOMICS, RETROECONOMICS, AND SANCTIONOMICS

The theory of economic progress has been extensively developed by leading economists, including Joseph Schumpeter, Robert Solow, Robert Lucas, and Douglass North. By contrast, a systemic theory of economic regression remains in its formative stage. One important dimension of economic regression is technological decline within the economy. The presentation examines four distinct theoretical approaches to the issue of technological regression: necroeconomy (as a legacy of the command economy), zombie-economy (as an outcome of financial crises), retroeconomy (coming from a global tendency toward the use of outdated technologies), and sanctionomy, reflecting constraints on access to advanced technologies under economic sanctions. The presentation proposes an effective mechanism for overcoming necroeconomics, zombie-economics, and retroeconomics, grounded in a fundamental reform of bankruptcy legislation. In the case of sanctionomics, it assesses the effectiveness of economic sanctions, and demonstrates that the persistence of informal or illegal forms of globalization creates tangible opportunities to circumvent them.

09.55 - 10.50

Sankar Kumar Roy
(Midnapore, India)

Prof. Dr. Sankar Kumar Roy,
Department of Applied Mathematics, Vidyasagar University, India

ROBUST MULTI-OBJECTIVE OPTIMIZATION OF OMNICHANNEL CLOSED-LOOP FOOD SUPPLY CHAINS WITH BLOCKCHAIN, IOT,
AND BIOFUEL INTEGRATION

Food supply chains today are no longer linear—they are complex, data-rich, and increasingly circular. This necessitates integrated, technology-driven frameworks to achieve efficiency and sustainability. This talk asks a simple but critical question: how can we redesign the closed-loop food supply chain to be both intelligent and sustainable? In connection with the question, we would learn how to investigate the synergistic deployment of omnichannel strategies, Internet of Things (IoT)-enabled RFID systems, and blockchain technology to enhance traceability, operational transparency, and decision-making across the network. A closed-loop perspective is adopted, emphasizing the value of food waste into biofuel to simultaneously address waste management and renewable energy generation, thereby reducing carbon emissions. To capture system dynamics, a multi-period, bi-objective optimization model is formulated under uncertainty, incorporating robust optimization techniques for demand, supply, and process variability. The proposed model is solved using an ε-constraint method to generate Pareto-efficient solutions balancing economic and environmental objectives, followed by TOPSIS-based ranking to identify preferred strategies.Computational experiments across multiple instances, supported by sensitivity analysis, demonstrate that the integration of omnichannel logistics with IoT and blockchain significantly improves supply chain resilience, sustainability performance, and operational efficiency. The findings offer both theoretical advancement and actionable insights for designing next-generation sustainable food supply networks.

10.50 - 11.20

Coffee Break

11.20 - 13.00

(S4-A) System-Based Modeling and Space-Time Analysis in Economics (Dedicated to the Memory of George Kleiner)

Venue: Faculty of Uzbek Philology, room 105

Chairman

Maxim Rybachuk (Financial University, Russia)

List of participants

Mafura Uandykova, Akhmed Baikhojayev THE TETRAD MODEL OF THE MODERN ECONOMIC SYSTEM
Maxim Rybachuk MULTIPOLAR MANAGEMENT IN RUSSIAN UNIVERSITIES: SYSTEMS PERSPECTIVE
Svetlana Shchepetova “ARCHETYPE-PATTERN-TETRAD” SIMULATION OF THE BEHAVIOR OF SOCIO-ECONOMIC SYSTEMS
Marat Gumerov RETHINKING SME FINANCING THROUGH SYSTEMS ECONOMICS

13.00 - 14.00

Lunch

14.00 - 15.40

(S5-A) Concepts, Models and Instruments for Overcoming the Complex Societal Problems –
Part II

Venue: Faculty of Uzbek Philology, room 105

Chairman

Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

List of participants

Tomas Baležentis, Artūras Lakis CLIMATE CHANGE AND AGRICULTURAL PRODUCTION: INTEGRATING ECONOMIC AND CLIMATIC DATA
Dorien DeTombe THE COVID-19 PANDEMIC: A COMPLEX SOCIETAL PROBLEM
Aynur Pashayeva, Tavat Muradli THE IMPACT OF EDUCATION ON SOCIAL AND POLITICAL BEHAVIOUR
Gediminas Merkys, Daiva Bubeliene, Egle Celiesiene DATA-DRIVEN MODELING OF MALE SOCIALIZATION

15.40 - 16.10

Coffee Break

16.10 - 17.50

(S6-A) Regional Studies and Sustainable Development

Venue: Faculty of Uzbek Philology, room 105

Chairman

Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

List of participants

Mindaugas Kuklierius, Tomas Baležentis SUSTAINABLE RURAL DEVELOPMENT: A MULTI-CRITERIA APPROACH
Olga Gorbaneva OPTIMAL SUSTAINABLE MANAGEMENT OF A REGIONAL SYSTEM
Ekaterina Zakrevskaya, Olga Sviridova, Andrey Dekanin REGIONAL SEARCH ANXIETY MONITORING
Akhmed Baikhojayev, Mafura Uandykova, Leonidas Sakalauskas RESOLVING THE BLACK BOX PARADOX: OR FRAMEWORK FOR GOVERNMENT

19.00 - 21.00

Conference Dinner

08.10 - 16:10

Registration

Venue: Information Resource Center

9.00 - 10.50

Invited Lectures

Venue: Faculty of Uzbek Philology, room 105

Chairman

Maxim Rybachuk (Central Economics and Mathematics Institute of the Russian Academy of Sciences, Russia)

09.00 - 09.55

Vladimer Papava
(Tbilisi, Georgia)

Prof. Dr. Vladimer Papava,
Tbilisi State University, Georgia

ON THE THEORY OF TECHNOLOGICAL REGRESSION OF THE ECONOMY: NECROECONOMICS, ZOMBIE-ECONOMICS, RETROECONOMICS, AND SANCTIONOMICS

The theory of economic progress has been extensively developed by leading economists, including Joseph Schumpeter, Robert Solow, Robert Lucas, and Douglass North. By contrast, a systemic theory of economic regression remains in its formative stage. One important dimension of economic regression is technological decline within the economy. The presentation examines four distinct theoretical approaches to the issue of technological regression: necroeconomy (as a legacy of the command economy), zombie-economy (as an outcome of financial crises), retroeconomy (coming from a global tendency toward the use of outdated technologies), and sanctionomy, reflecting constraints on access to advanced technologies under economic sanctions. The presentation proposes an effective mechanism for overcoming necroeconomics, zombie-economics, and retroeconomics, grounded in a fundamental reform of bankruptcy legislation. In the case of sanctionomics, it assesses the effectiveness of economic sanctions, and demonstrates that the persistence of informal or illegal forms of globalization creates tangible opportunities to circumvent them.

09.55 - 10.50

Sankar Kumar Roy
(Midnapore, India)

Prof. Dr. Sankar Kumar Roy,
Department of Applied Mathematics, Vidyasagar University, India

ROBUST MULTI-OBJECTIVE OPTIMIZATION OF OMNICHANNEL CLOSED-LOOP FOOD SUPPLY CHAINS WITH BLOCKCHAIN, IOT,
AND BIOFUEL INTEGRATION

Food supply chains today are no longer linear—they are complex, data-rich, and increasingly circular. This necessitates integrated, technology-driven frameworks to achieve efficiency and sustainability. This talk asks a simple but critical question: how can we redesign the closed-loop food supply chain to be both intelligent and sustainable? In connection with the question, we would learn how to investigate the synergistic deployment of omnichannel strategies, Internet of Things (IoT)-enabled RFID systems, and blockchain technology to enhance traceability, operational transparency, and decision-making across the network. A closed-loop perspective is adopted, emphasizing the value of food waste into biofuel to simultaneously address waste management and renewable energy generation, thereby reducing carbon emissions. To capture system dynamics, a multi-period, bi-objective optimization model is formulated under uncertainty, incorporating robust optimization techniques for demand, supply, and process variability. The proposed model is solved using an ε-constraint method to generate Pareto-efficient solutions balancing economic and environmental objectives, followed by TOPSIS-based ranking to identify preferred strategies.Computational experiments across multiple instances, supported by sensitivity analysis, demonstrate that the integration of omnichannel logistics with IoT and blockchain significantly improves supply chain resilience, sustainability performance, and operational efficiency. The findings offer both theoretical advancement and actionable insights for designing next-generation sustainable food supply networks.

10.50 - 11.20

Coffee Break

11.20 - 13.00

(S4-B) NLP and Language Technologies – Part II

Venue: Faculty of Uzbek Philology, room 108

Chairman

Nilufar Abdurakhmonova (National University of Uzbekistan, Uzbekistan)

List of participants

Dilnaz Akhmetova, Ualsher Tukeyev NEURAL MODELS FOR SPEECH RECOGNITION IN UZBEK
Nilufar Abdurakhmonova, Mavluda Urazaliyeva ANNOTATION-BASED SOCIO-LINGUISTIC MODELING OF THE UZBEK AUDIO CORPUS
Nazerke Omarkhaliyeva, Ualsher Tukeyev “TURKISH SPEECH SUMMARIZATION WITH WHISPER AND MBART
Shakhlo Abdisalomova ANNOTATION OF COREFERENCE IN UZBEK TEXTS USING INCEPTION

13.00 - 14.00

Lunch

14.00 - 15.40

(S5-B) NLP and Language Technologies – Part III

Venue: Faculty of Uzbek Philology, room 108

Chairman

Nilufar Abdurakhmonova (National University of Uzbekistan, Uzbekistan)

List of participants

Shaukurla Bekchanov TEMPORAL TOPIC EVOLUTION IN UZBEK TELEGRAM USING BERTOPIC
Nilufar Abdurakhmonova ANNOTATED CORPUS FOR UZBEK LEGAL NAMED ENTITY RECOGNITION
Matlubaxon Turobova TRANSFORMING UZBEK LEXICOGRAPHY: CORPUS-BASED INNOVATIONS
Mukhammadrakhimkhon Juraev HISTORICAL FOUNDATIONS AND EARLY FRAMEWORKS OF TEXT COMPLEXITY ASSESSMENT

15.40 - 16.10

Coffee Break

16.10 - 17.50

(S6-B) Education, Pedagogy and Human Capital Development

Venue: Faculty of Uzbek Philology, room 108

Chairman

Maya Heydarova (Linguistics Institute named after I. Nasimi of Azerbaijan National Academy of Sciences, Azerbaijan)

List of participants

Maya Heydarova THE REPRESENTATION OF THE AZERBAIJANI LANGUAGE IN THE DIGITAL SPACE
Nargiza Masharipova TRANSFORMING STUDENT ERRORS INTO PEDAGOGICAL OPPORTUNITIES
Shokhsanam Usmanova, Ilkhomjon Tokhtasinov ENHANCING EFL LEARNERS' WRITING PROFICIENCY

19.00 - 21.00

Описание	Даты
Начало регистрации:	– 15 сентября 2025 г.
Крайний срок для предложений по организации секций:	– 20 марта 2026 г.
Регистрация и подача аннотаций докладов для сборника трудов Springer Proceedings:	– 20 апреля 2026 г.
Подача статьи в сборник трудов Springer Proceedings:	– 25 мая 2026 г.
Уведомление о принятии статей к публикации:	– 15 июня 2026 г.
Ранняя регистрация (оплата оргвзноса со скидкой):	– 08 сентября 2026 г.
Регистрация и подача аннотаций докладов без публикации в сборнике трудов Springer Proceedings:	– 12 сентября 2026 г.
Конференция:	– 23-25 сентября 2026 г.
Подача статей в высокорейтинговые журналы:	– 25 февраля 2027 г.

Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2026)

IV Международная конференция 23-25 сентября 2026 года Ташкент, Узбекистан

Добро пожаловать на конференцию “МОДЕЛИРОВАНИЕ И СИМУЛЯЦИЯ СОЦИАЛЬНО-ПОВЕДЕНЧЕСКИХ ФЕНОМЕНОВ В КРЕАТИВНЫХ СООБЩЕСТВАХ”

О конференции

Тематика конференции

ИСТОРИЯ КОНФЕРЕНЦИИ

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

Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2022)

Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2024)

Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2026)

Моделирование и симуляция социально-поведенческих феноменов в креативных сообществах (MSBC-2028)

ОРГАНИЗАТОРЫ КОНФЕРЕНЦИИ

СООРГАНИЗАТОРЫ КОНФЕРЕНЦИИ

МЕЖДУНАРОДНЫЙ ПРОГРАММНЫЙ КОМИТЕТ

Члены Международного программного комитета

ОРГАНИЗАЦИОННЫЙ КОМИТЕТ

Члены Организационного комитета

ПЛЕНАРНЫЕ ДОКЛАДЧИКИ

ПРОГРАММА КОНФЕРЕНЦИИ

Registration

Invited Lectures

Vladimir Mazalov(St. Peterburg, Russia)

Prof. Dr. Vladimir Mazalov, St. Peterburg State University, Russia

ALTRUISTIC BEHAVIOR IN GAME-THEORETIC ENVIRONMENTAL MODELS

Lina Volodzkienė(Vilnius, Lithuania)

Prof. Dr. Lina Volodzkienė, Faculty of Public Governance and Business, Mykolas Romeris University, Lithuania

STRENGTHENING HUMAN AND SOCIETAL RESILIENCE IN UNCERTAIN TIMES

Coffee Break

(S7-A) Game-theoretic Models of Social Processes

Lunch

Discussion

Conclusions & Closing Ceremony Farewell Party

Excursion

Registration

Invited Lectures

Vladimir Mazalov(St. Peterburg, Russia)

Prof. Dr. Vladimir Mazalov, St. Peterburg State University, Russia

ALTRUISTIC BEHAVIOR IN GAME-THEORETIC ENVIRONMENTAL MODELS

Lina Volodzkienė(Vilnius, Lithuania)

Prof. Dr. Lina Volodzkienė, Faculty of Public Governance and Business, Mykolas Romeris University, Lithuania

STRENGTHENING HUMAN AND SOCIETAL RESILIENCE IN UNCERTAIN TIMES

Coffee Break

(S7-B) Welfare, Finance and Attention Economies

Lunch

Discussion

Conclusions & Closing Ceremony Farewell Party

Excursion

Registration

Registration

Conference Opening & Welcome Remarks

Yokub Ergashov

Plenary Session

Chairman Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

Ualsher Tukeyev(Almaty, Kazakhstan)

Prof. Dr. Ualsher Tukeyev, Faculty of Information Technology and Artificial Intelligence, Al-Farabi Kazakh National University, Kazakhstan

COMPUTATIONAL THINKING AS CREATIVE MODELING IN AI-ASSISTED INTELLIGENT PROGRAMMING

Mersaid Aripov(Tashkent, Uzbekistan)

Prof. Dr. Ualsher Tukeyev, National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan

LLM FOR ASPECT-BASED SENTIMENT ANALYSIS OF UZBEK SERVICE SECTOR REVIEWS

Mieradilijiang Maimaiti(Ürümqi, China)

Associate Professor, Dr. Mieradilijiang Maimaiti, School of Computer Science, Xinjiang University, China

LARGE LANGUAGE MODELS FOR UNDER-RESOURCED LANGUAGES: FROM TEXT UNDERSTANDING TO MULTIMODAL RETRIEVAL

Coffee Break

(S1-A) Concepts, Models and Instruments for Overcoming the Complex Societal Problems – Part I

Lunch

(S2-A) Social Media Content Analysis and Deviant Behavior Detection – Part I

Coffee Break

(S3-A) Social Media Content Analysis and Deviant Behavior Detection – Part II

Welcome Party

Registration

Conference Opening & Welcome Remarks

Yokub Ergashov

Plenary Session

Chairman Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

Ualsher Tukeyev(Almaty, Kazakhstan)

Prof. Dr. Ualsher Tukeyev, Faculty of Information Technology and Artificial Intelligence, Al-Farabi Kazakh National University, Kazakhstan

COMPUTATIONAL THINKING AS CREATIVE MODELING IN AI-ASSISTED INTELLIGENT PROGRAMMING

Mersaid Aripov(Tashkent, Uzbekistan)

Prof. Dr. Ualsher Tukeyev, National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan

LLM FOR ASPECT-BASED SENTIMENT ANALYSIS OF UZBEK SERVICE SECTOR REVIEWS

Моделирование и симуляция
социально-поведенческих феноменов в креативных сообществах (MSBC-2026)

IV Международная конференция
23-25 сентября 2026 года
Ташкент, Узбекистан

Добро пожаловать на конференцию
“МОДЕЛИРОВАНИЕ И СИМУЛЯЦИЯ СОЦИАЛЬНО-ПОВЕДЕНЧЕСКИХ ФЕНОМЕНОВ В КРЕАТИВНЫХ СООБЩЕСТВАХ”

Vladimir Mazalov
(St. Peterburg, Russia)

Prof. Dr. Vladimir Mazalov,
St. Peterburg State University, Russia

Lina Volodzkienė
(Vilnius, Lithuania)

Prof. Dr. Lina Volodzkienė,
Faculty of Public Governance and Business, Mykolas Romeris University, Lithuania

Vladimir Mazalov
(St. Peterburg, Russia)

Prof. Dr. Vladimir Mazalov,
St. Peterburg State University, Russia

Lina Volodzkienė
(Vilnius, Lithuania)

Prof. Dr. Lina Volodzkienė,
Faculty of Public Governance and Business, Mykolas Romeris University, Lithuania

Chairman
Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

Ualsher Tukeyev
(Almaty, Kazakhstan)

Prof. Dr. Ualsher Tukeyev,
Faculty of Information Technology and Artificial Intelligence, Al-Farabi Kazakh National University, Kazakhstan

Mersaid Aripov
(Tashkent, Uzbekistan)

Prof. Dr. Ualsher Tukeyev,
National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan

Mieradilijiang Maimaiti
(Ürümqi, China)

Associate Professor, Dr. Mieradilijiang Maimaiti,
School of Computer Science, Xinjiang University, China

(S1-A) Concepts, Models and Instruments for Overcoming the Complex Societal Problems –
Part I

Chairman
Leonidas Sakalauskas (Vytautas Magnus University, Lithuania)

Ualsher Tukeyev
(Almaty, Kazakhstan)

Prof. Dr. Ualsher Tukeyev,
Faculty of Information Technology and Artificial Intelligence, Al-Farabi Kazakh National University, Kazakhstan

Mersaid Aripov
(Tashkent, Uzbekistan)

Prof. Dr. Ualsher Tukeyev,
National University of Uzbekistan named after Mirzo Ulugbek, Uzbekistan

Mieradilijiang Maimaiti
(Ürümqi, China)

Associate Professor, Dr. Mieradilijiang Maimaiti,
School of Computer Science, Xinjiang University, China

Vladimer Papava
(Tbilisi, Georgia)

Prof. Dr. Vladimer Papava,
Tbilisi State University, Georgia

Sankar Kumar Roy
(Midnapore, India)

Prof. Dr. Sankar Kumar Roy,
Department of Applied Mathematics, Vidyasagar University, India

ROBUST MULTI-OBJECTIVE OPTIMIZATION OF OMNICHANNEL CLOSED-LOOP FOOD SUPPLY CHAINS WITH BLOCKCHAIN, IOT,
AND BIOFUEL INTEGRATION

(S5-A) Concepts, Models and Instruments for Overcoming the Complex Societal Problems –
Part II

Vladimer Papava
(Tbilisi, Georgia)

Prof. Dr. Vladimer Papava,
Tbilisi State University, Georgia

Sankar Kumar Roy
(Midnapore, India)

Prof. Dr. Sankar Kumar Roy,
Department of Applied Mathematics, Vidyasagar University, India

ROBUST MULTI-OBJECTIVE OPTIMIZATION OF OMNICHANNEL CLOSED-LOOP FOOD SUPPLY CHAINS WITH BLOCKCHAIN, IOT,
AND BIOFUEL INTEGRATION

Национальный университет Узбекистана
имени Мирзо Улугбека