The new date of the conference: September 15-17, 2026.
Geopolitics, economy, and the eurasian transition
This section examines the transformation of the world order, with a particular focus on the new dynamics of sovereignty, economic power centers, and technological competitiveness. It focuses on how AI shapes global power structures and how state and economic sovereignty are transforming as the strategic importance of digital infrastructures and computing capacities grows.
The panel will focus on the opportunities for Eurasian scientific and innovation cooperation, guided by a shared, knowledge-based vision. It will analyze how smart ecosystems, digital networks, and research and development platforms can contribute to regional development and the deepening of economic integration.
The session also discusses the role of financial integration, fintech solutions, and AI-based economic development models, with a particular focus on data-driven decision-making, risk analysis, and digital payment systems. It highlights that AI is not merely a technological innovation but a key factor in global competitiveness and economic strategy, which can open new avenues for cooperation and integration for Eurasia and the broader international arena.
The Transformation of the World Order and Sovereignty in the Age of Artificial Intelligence and the Data Economy
Eurasian scientific and innovation cooperation: a shared knowledge-based vision
Financial integration, fintech, and AI-based economic development models
AI as a Competitiveness Factor in the Global Economy
This session examines the strategic significance of artificial intelligence in 21st-century geopolitical competition, as AI is not merely a tool for innovation but also a factor of power. The panel analyzes the tension between technological autonomy and global dependencies: how states strive to strengthen their digital sovereignty while their supply chains, chip manufacturing, and cloud infrastructure are embedded in international networks. Key topics include cyber defense, the development of autonomous systems and digital warfare, and the role of AI in protecting critical infrastructure. The session also addresses new models of deterrence and security balance in the AI era: how strategic stability changes as autonomous weapon systems, predictive analytics, and algorithmic decision support emerge in defense policy. Finally, it addresses the issue of geopolitical bloc formation and technological fragmentation, highlighting that competition surrounding AI could create new fault lines in the global order.
The Transformation of the Multilateral World Order
Geopolitical megatrends and new power dynamics
The future role of Eurasian financial centers
The challenges of the BRI in university cooperation
Geopolitics and AI – New Dimensions of Security
The importance of connectivity in Eurasia
A shared Eurasian vision: education, innovation, research
This section examines the interconnections between life-centered sustainable economics, artificial intelligence, and circular economic models from a systems-level perspective. Its starting point is that 21st-century economic thinking cannot be limited to maximizing GDP growth: its primary goal is to achieve a balance between human well-being, social cohesion, and ecological integrity. The session analyzes how artificial intelligence can contribute to the practical implementation of life-centered economic models. AI creates opportunities for more accurate measurement of social and environmental impacts, the development of long-term sustainability indicators, and data-driven support for public policy and business decisions. Special attention is given to indicators such as quality of life, health, community trust, and biodiversity, the integration of which can give a new direction to economic evaluation systems.
The session focuses on the new generation of the circular economy, in which digitalization, the IoT, and AI play a key role in accelerating the transition away from the linear model. Best practices from European and Asian cities, regions, and corporate ecosystems demonstrate how AI can become not merely a technological tool, but a strategic partner in the sustainable transition.
At the same time, a critical perspective emerges: the panel examines the energy demands and ecological footprint of artificial intelligence, as well as the need for responsible technology design. The goal is to outline an integrated economic paradigm in which innovation, sustainability, and a life-centered approach mutually reinforce one another to shape the economy of the future.
Life-Centered Sustainable Economics in the Age of AI
The Relationship Between AI and Sustainability
Circular economic models
This section focuses on the issue of climate change and ecosystem conservation (“saving ecosystems”) within the framework of SDG 17 – Partnerships for the Goals. Its starting point is that higher education is a key player in the sustainable transition: it not only imparts knowledge but also generates innovation, shifts in mindset, and international cooperation. The section explores how a resilient and sustainable education ecosystem can be built. It focuses on climate adaptation, environmental responsibility, the role of digital and technological innovations—including AI—and strategic partnerships between universities.
The goal is to present an international cooperation model that strengthens knowledge transfer, joint research programs, and institutional practices supporting sustainable development, contributing to the creation of a globally functional, resilient, and sustainable education system in the long term.
Global Climate Change – Research Challenges in the Age of AI
AI-driven climate modeling and forecasting
Ecosystem regeneration and nature conservation
The social dimensions of a life-centered approach
Cultural and knowledge ecosystems
This section examines the future of sustainable cities in light of the challenges posed by global climate change. It focuses on the quality of urban life: how to create livable, healthy, inclusive, and resilient urban spaces in an era of rapid urbanization and environmental pressure.
The panel will address energy-efficient building stock, green and integrated transportation systems, climate-resilient urban planning, and the role of community and green spaces in enhancing social well-being. It will specifically examine the potential of smart infrastructure, the IoT, sensor networks, and AI-based urban management in optimizing resource use, reducing emissions, and predicting environmental risks.
The section highlights that a sustainable city is not merely a technological issue but a complex social innovation: governance models, citizen participation, and community collaboration all play key roles. Best practices from European and Asian cities help explore how cities can become global drivers of climate adaptation and sustainable development.
Sustainable urban development and smart infrastructure
Sustainable energy and green digitalization
The future of cities in the age of AI – urban planning, resilience, social innovation
AI in the healthcare industry – diagnostics, personalized medicine
Smart Cities and AI Infrastructure
This section examines the transformation of energy systems from the perspective of climate neutrality and sustainable development, with a particular focus on the role of renewable energy sources, energy efficiency, and the hydrogen economy. The central question is how artificial intelligence can be integrated into the carbon-free and resilient energy systems of the future.
The panel will demonstrate how AI aids in forecasting production fluctuations in solar, wind, geothermal, and biomass-based systems, managing smart grids, and optimizing energy storage solutions. It also focuses on energy efficiency: reducing the energy demands of algorithms, data centers, and industrial processes, as well as the technological and regulatory frameworks for “greener AI.”
The section’s third focus is the hydrogen economy: the application of AI in optimizing the production, storage, and transportation of green hydrogen, improving the efficiency of electrolysis systems, and supporting industrial integration. It also addresses the strategic importance of Eurasian energy cooperation and hydrogen corridors.
Its goal is to present an integrated energy model in which renewable sources, smart grids, energy-efficient technologies, and hydrogen-based solutions together shape the sustainable, digitally controlled energy system of the future.
Renewable Energy and AI Integration
The Hydrogen Economy in the Age of AI
Energy-Efficient AI: Is “Greener” Artificial Intelligence Possible?
This section examines the transformation of the tourism sector in the age of digitalization and artificial intelligence. It focuses on the future of the global tourism ecosystem: how AI is shaping destination management, the visitor experience, and sustainable operating models.
The panel will address issues such as demand forecasting, real-time visitor management, smart-device-enabled travel planning, and experience-based service development. A key theme is sustainable tourism: managing overuse, reducing seasonal fluctuations, and mitigating the environmental footprint through data-driven solutions. The aim of this session is to demonstrate how tourism can become more resilient, experience-focused, and responsible with the support of AI.
This section examines the transformation of marketing and management science in light of the strategic integration of artificial intelligence, with a particular focus on the role of MBA programs. It focuses on decision support, predictive analytics, deeper analysis of consumer behavior, and automated brand communication.
The panel will present new tools for AI-based strategic planning, risk analysis, and corporate governance, as well as the evolution of omnichannel systems and personalized customer experience management. It will focus on how MBA programs should respond to these changes: how data-driven thinking, the ethical use of AI, and the development of digital leadership competencies can be integrated into management education. The goal is to outline a future-oriented business and educational model in which AI is not merely a technological tool, but a fundamental element of strategic leadership and responsible corporate operations.
This section examines the future of sustainable organic farming, horticultural innovation, and rural areas through an integrated approach. It focuses on sustainable food production, an environmentally friendly agricultural economy, and resilient rural systems built on local communities.
The panel will demonstrate how AI and agricultural digitalization support precision horticulture, the optimization of soil and water use, environmentally friendly plant protection solutions, and yield stability. It addresses strengthening food security, crop forecasting, supply chain transparency, and reducing waste, with a particular focus on managing risks caused by climate change.
The Rural 4.0 approach plays a key role: smart villages, digital services, support for young farmers, and the modernization of local economies. The aim of this session is to demonstrate how a sustainable agricultural and food ecosystem can be developed that simultaneously strengthens environmental responsibility, the quality of rural life, and global food security.
Sustainable food production and horticultural value chains supported by AI
Rural 4.0 – The role of AI in the development of rural areas and the modernization of local economies
Precision horticulture and agricultural digitization in the age of AI
AI in the service of food security
Biotechnology, genomics, and AI-based healthcare
Autonomous Intelligence, the Quantum Future, and Digital Sovereignty
What would John Von Neumann be working on today in the era of AI, quantum computing, and global digital systems? At the heart of Neumann’s legacy lay programmable architecture, the mathematical modeling of complex systems, game theory, and self-reproducing automata—foundations that live on today in autonomous intelligent systems, robotics, and digital infrastructures. The essence of Neumann’s thinking lay not only in architecture, but in an integrated approach to the mathematical description of complex systems, computational theory, self-reproducing automata, and strategic decision theory.
The panel will present the development of multimodal AI models, systems capable of autonomous decision-making, and robotics—including industrial and service robots, drones, and autonomous vehicles. It examines issues of perception, navigation, adaptive learning, and coordination, as well as new dimensions of human–machine collaboration in the context of Industry 5.0.
A key focus is the synergy between quantum computing and AI, with particular emphasis on computationally intensive optimization and complex simulations. Neumann’s legacy serves as a living intellectual compass: mathematical precision, interdisciplinary thinking, and strategic foresight continue to shape the development of intelligent systems—that is, autonomous systems— quantum technology, and secure digital ecosystems—where mathematical precision, strategic thinking, and technological responsibility are all equally decisive.
The Neumann Legacy and Modern Computing
Trends in AI development – multimodality and autonomous systems
Synergies between quantum computing and AI, Industry 5.0 and human-machine collaboration,
Robotics and autonomous systems, Cybersecurity and digital sovereignty
This section examines the society-shaping effects of smart technologies—particularly artificial intelligence—at the intersection of education, the creative industries, and the world of work. It focuses on the question of what technological, ethical, and institutional challenges the deep integration of intelligent systems poses in a knowledge-based society.
Its goal is to present an integrated approach in which smart technologies are not merely tools for increasing efficiency, but rather shapers of a new quality of education, creativity, and work—within responsible, human-centered, and sustainable frameworks.
The panel will address the role of VR developments and immersive technologies in education, research, and industrial applications, and will present the latest results of university AI developments. The goal is to demonstrate that universities are not merely followers but shapers of global AI innovation and sustainability processes.
The Future of Work – AI and Occupational Ecosystems
Creativity, Art, and AI
AI in the Education Revolution
AI Developments in VR/AR
This section examines the mobility ecosystem of the future, with a particular focus on autonomous transportation systems and the role of sustainable vehicle technologies in the climate-neutral transition. The focus is on how transportation can be made safer, smarter, and more environmentally friendly through the integration of AI, electromobility, and cyber-physical systems.
The panel will present sensing, decision-making, and navigation solutions for autonomous vehicles, real-world and simulation testing technologies, and the development of intelligent community and logistics systems. It will focus on manufacturing and energy management solutions for electric and hydrogen-powered vehicles, the sustainability of battery technologies, and supply chain transparency.
The section also integrates the role of industrial informatics, the IoT, and cyber-physical systems: issues related to real-time data collection, edge computing, automated production control, and functional safety. Special attention is given to cybersecurity and the regulatory environment, which determine the social acceptance and operational framework of autonomous mobility.
Its goal is to present a complex mobility model in which sustainable vehicles, smart infrastructure, and university-industry innovation collaborations together shape the transportation system of the future.
Sustainable Vehicle Manufacturing – The Use of Renewable Energy in the Age of AI
AI laboratories – university initiatives and innovation platforms
Materials Technology and AI – A New Era in Development
Mechatronic systems and smart manufacturing technologies
Automotive developments, autonomous mobility, and testing technologies
Industrial Informatics, IoT, and Optimization of Cyber-Physical Systems
This section examines the transformation of global logistics systems in the era of digitalization and artificial intelligence. It focuses on rethinking supply chains: how to make them more efficient, transparent, and resilient amid the challenges of geopolitical uncertainties and climate change.
The panel will showcase AI-based predictive inventory management, route optimization, warehouse automation, and real-time monitoring systems. It will place special emphasis on the integration of maritime, air, and land logistics networks, as well as the digital coordination of multimodal transport.
This section analyzes data-driven decision support aimed at enhancing supply chain resilience, opportunities for reducing the carbon footprint, and the development of sustainable logistics models. It also addresses issues of data sharing, interoperability, and cybersecurity, which affect critical infrastructure in the digital age.
Its aim is to demonstrate that AI is not merely an optimization tool, but one of the defining pillars of the strategic infrastructure of global trade.
This section examines the development of regional innovation systems (RIS) in the era of digitalization and artificial intelligence. It focuses on the dynamics of university–business–local government collaborations, the mechanisms of knowledge flow, and the role of doctoral research in strengthening the knowledge-based economy.
How can interdisciplinary research methodologies, big data-based analyses, and AI-based modeling techniques be integrated into regional development strategies? It focuses particularly on issues related to corporate digitalization, the transition from Industry 4.0 to 5.0, process optimization, and data-driven decision-making, as well as the connections between sustainable competitiveness and the green transition. The section also addresses the regional impacts of social innovation and digital transformation: the development of digital competencies, innovation in the public sector, and the resilience of local communities. It addresses new models of knowledge management, organizational learning, and AI-based performance evaluation that facilitate institutional and corporate adaptation.
Its goal is to demonstrate how doctoral research and university innovation platforms can become strategic drivers of the regional and Eurasian innovation space, strengthening sustainable, digitally driven economic development.
Interdisciplinary Research Methodology in the Age of AI
Regional Innovation Systems and the Knowledge Economy
Corporate digitalization, industrial transformation, and sustainable competitiveness
Social innovation and digital transformation
Knowledge management, organizational learning, and AI-based decision-making
This section examines the global dimensions of artificial intelligence in the context of geopolitical competition, technological sovereignty, and sustainability. It focuses on the question of how a reliable and interoperable AI ecosystem based on international cooperation can be established in a fragmenting world order where algorithms, data, and computing capacity have become strategic resources.
The panel will analyze the “geography” of AI and its implications for power dynamics: where data centers and cutting-edge technologies are concentrated, how the spatial distribution of digital infrastructure shapes economic and political sovereignty, and how the tension between technological autonomy and global interdependence manifests itself. A key topic is the role of cybersecurity, autonomous systems, and AI-based security architectures in protecting critical infrastructure and developing new types of deterrence models.
The session also emphasizes the integration of AI—as a global foundational innovation—with sustainability: how to measure AI-related emissions, how to align the technology with national and international climate policy frameworks, and how to steer AI development toward a climate-positive direction. Its goal is to present a comprehensive framework in which security, sovereignty, economic competitiveness, and climate responsibility are not pitted against one another but rather reinforce one another in global AI governance.
This section examines how universities can become drivers of global innovation through European and Asian collaborations. It focuses on interdisciplinary research networks, joint development projects, and knowledge transfer mechanisms. It analyzes the role of shared research infrastructures, innovation parks, and startup ecosystems. It addresses the challenges of open innovation and international funding models. It highlights the role of universities in strengthening technological sovereignty and competitiveness. The section aims to demonstrate that collaboration is not merely an opportunity but a fundamental prerequisite for future innovation.
This session examines the adaptability and sustainability of educational systems in a rapidly changing global environment. It analyzes how universities can become resilient institutions amid technological, social, and environmental challenges. Special attention is given to digital learning platforms, hybrid educational models, and AI-based learning support systems. It examines the integration of sustainability considerations into curricula and institutional strategies. Particular emphasis is placed on the role of global cooperation in reducing educational inequalities. The goal is to outline a vision in which education serves as a stable foundation for sustainable social development.
This section presents the most outstanding innovations and best practices implemented by universities from an international perspective. It pays special attention to projects that successfully combine research, education, and societal impact. The panel presents the innovation strategies and institutional models of various regions. It analyzes the factors that contribute to the global competitiveness of universities. It addresses startup incubation, spin-off companies, and technology transfer processes. The aim of this session is to provide inspiration for knowledge sharing and adaptation among universities, fostering the development of future-oriented higher education models.
This section explores new dimensions of collaboration between European and Asian universities. It focuses on the role of digital platforms, joint research networks, and mobility programs. It analyzes the institutional and technological frameworks that enable effective knowledge flow. The panel will present AI-based collaboration systems, virtual campuses, and joint training programs. It will highlight the impact of geopolitical and economic factors on academic partnerships. The goal is to outline an integrated Eurasian higher education space that can serve as a foundation for joint innovation and knowledge development.
This section provides universities with an opportunity to showcase their research profiles, innovation achievements, and educational models. The workshops facilitate the exchange of experiences and collaborative thinking through interactive sessions. The panel aims to create a platform for establishing new partnerships and projects. Special emphasis is placed on presenting regional characteristics and development directions. Participants can gain insight into the institutions’ strategic priorities and future plans. The session supports networking and the establishment of direct professional connections.