About to MEBDMS 2026

The 2026 International Conference on Model Engineering, Big Data and Management Science (MEBDMS 2026) will be held grandly in Changchun, the core city of revitalizing the old industrial base in Northeast China. This conference focuses on the deep integration of model construction, big data analysis, and management science, aiming to create a high-level, interdisciplinary international academic exchange platform that brings together experts, scholars, researchers, enterprise analysts, and decision managers in fields such as systems engineering, operations research, data science, artificial intelligence, management science and engineering, industrial engineering, financial engineering, and public management. The conference will conduct in-depth discussions on cutting-edge topics such as modeling and simulation technology for complex systems, big data-driven prediction and optimization models, the application of machine learning in management decision-making, digital twins and intelligent operation management, modeling and optimization of supply chain and logistics systems, risk management and financial modeling, quantitative analysis of urban governance and public policies, modeling of industrial big data and intelligent manufacturing systems, data visualization and decision support systems, model interpretability and trustworthy integration of management practices. Through various forms such as keynote speeches, thematic forums, paper presentations, case studies, and system demonstrations, we aim to promote data-driven model innovation to serve enterprise management, industry optimization, and public governance, and enhance the scientific decision-making capabilities of complex systems. MEBDMS 2026 emphasizes the core concept of "model as the basis, data as the wing, and management as the application", committed to connecting the entire chain from data to models and management decisions, and helping digital transformation and the development of new quality productivity. The high-quality papers accepted by the conference will be recommended for publication in relevant international journals indexed by SCI, SSCI, Scopus, or EI to enhance academic influence.