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IC2MCS · Registering as Listener

International Conference on Mathematical Modeling of Complex Systems

13 - 14 May 2027 Vienna, Austria Standard / Physical Participation
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$115
virtual · $175 in person
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Registration summary

ConferenceIC2MCS
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.

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• Conference Session Tracks •
SDGs
SDG-Aligned Research Themes

IC2MCS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 1 - No Poverty SDG 4 - Quality Education SDG 8 - Decent Work and Economic Growth SDG 9 - Industry, Innovation and Infrastructure
01 Foundations of Mathematical Modeling +
This track explores the theoretical underpinnings of mathematical modeling, focusing on the principles and methodologies that guide the development of models for complex systems. Participants will discuss the role of abstraction and simplification in capturing the essence of real-world phenomena.
02 Nonlinear Dynamics and Chaos Theory +
This session delves into the intricacies of nonlinear dynamics and chaos theory, emphasizing their significance in understanding complex behaviors in various systems. Researchers will present novel approaches and applications that highlight the unpredictable nature of nonlinear systems.
03 Simulation Techniques in Complex Systems +
This track focuses on advanced simulation techniques employed in the study of complex systems, including agent-based modeling and Monte Carlo methods. Participants will share insights on the effectiveness of simulations in predicting system behavior under varying conditions.
04 Applied Mathematics in Real-World Problems +
This session showcases the application of mathematical modeling to solve real-world challenges across diverse fields such as engineering, biology, and economics. Presenters will illustrate how mathematical tools can provide innovative solutions to pressing issues.
05 Stochastic Models and Their Applications +
This track examines the role of stochastic models in capturing uncertainty and variability in complex systems. Researchers will discuss methodologies for developing and analyzing these models, along with their applications in fields such as finance and environmental science.
06 Network Theory and Complex Systems +
This session investigates the principles of network theory as applied to complex systems, focusing on the structure and dynamics of networks. Participants will explore how network models can elucidate interactions and emergent behaviors in various contexts.
07 Computational Methods in Mathematical Modeling +
This track highlights cutting-edge computational methods that enhance the modeling of complex systems, including numerical analysis and optimization techniques. Presentations will showcase how these methods facilitate the exploration of high-dimensional parameter spaces.
08 Emergent Behavior in Complex Systems +
This session focuses on the study of emergent behavior arising from the interactions of individual components within complex systems. Researchers will present findings that illustrate how simple rules can lead to complex global phenomena.
09 Statistical Physics and Complex Systems +
This track explores the intersection of statistical physics and mathematical modeling, emphasizing the statistical properties of complex systems. Participants will discuss models that capture collective behavior and phase transitions in various physical systems.
10 Predictive Modeling Techniques +
This session is dedicated to the development and validation of predictive modeling techniques in the context of complex systems. Researchers will share methodologies that enhance the accuracy and reliability of predictions across different applications.
11 Multiscale Modeling Approaches +
This track examines multiscale modeling approaches that integrate phenomena occurring at different spatial and temporal scales. Presenters will discuss the challenges and strategies involved in bridging scales to achieve a comprehensive understanding of complex systems.