ICCESE · Registering as Listener

International Conference on Computational Economics, Statistics and Econometrics

13th Nov – 14th Nov 2026 Phnom Penh, Cambodia Standard / Physical Participation
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ConferenceICCESE
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Conference Session Tracks
SDG Wheel

SDG-Aligned Research Themes

International Conference on Computational Economics, Statistics and Econometrics 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

This track focuses on the application of agent-based modelling techniques to simulate and analyze complex economic systems. Participants will explore the implications of individual behaviors and interactions on macroeconomic outcomes.

This session will delve into the integration of control theory and game theory in economic decision-making processes. Researchers are invited to present innovative approaches that enhance strategic interactions among agents.

This track aims to discuss advancements in general equilibrium models and their applications in policy analysis. Contributions will highlight both theoretical developments and empirical validations of these models.

Focusing on optimisation techniques, this session will cover various methods used to solve economic problems efficiently. Participants will share insights on algorithmic advancements and their practical implications in economics.

This track will explore economic dynamics, emphasizing the temporal evolution of economic variables and systems. Presentations will include both theoretical frameworks and empirical studies that illustrate dynamic behavior in economics.

This session will address contemporary issues in international economics, including trade dynamics and global market interactions. Researchers are encouraged to present papers that analyze the impact of globalization on economic policies.

This track focuses on macroeconomic models and their role in forecasting economic indicators. Contributions will discuss methodologies and challenges in predicting macroeconomic trends and cycles.

This session will investigate microeconomic theories and their applications in understanding consumer behavior. Researchers are invited to present empirical studies that reveal insights into decision-making processes at the individual level.

Focusing on industrial and regional economics, this track will explore the spatial dimensions of economic activity. Participants will discuss innovative approaches to analyzing regional development and industrial organization.

This session will highlight advancements in software tools and platforms designed for economic modelling and analysis. Contributions will showcase practical implementations and user experiences in developing economic software.

This track will cover a range of statistical techniques used in econometric analysis, including Bayesian methods and time series analysis. Participants are encouraged to present research that enhances the robustness and applicability of econometric models.

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