About ICEMBDA 2025

2025 6th International Conference on Economic Management and Big Data Application （ICEMBDA 2025）

The 1st to 5th International Conference on Economic Management and Big Data Applications （ICEMBDA 2020-2023） has been successfully held in Tianjin Dalian Chengdu and other cities and has a good history of organizing conferences and publishing.

2025 6th International Conference on Economic Management and Big Data Applications （ICEMBDA 2025） is scheduled to be held in Shenzhen China on July 11-13 2025.

ICEMBDA 2025 is an essential forum for researchers practitioners and educators to present and discuss the most recent innovations trends and concerns as well as practical challenges encountered and solutions adopted in the fields of economic management and big data analytics. Scheduled to be held in an era marked by rapidly evolving digital technologies ICEMBDA 2025 aims to bridge the gap between big data technologies and their practical implementation in economic management.

Background

The integration of big data analytics into economic management has revolutionized decision-making processes by enabling more precise evidence-based strategies that potentially lead to superior outcomes. As big data continues to grow in volume variety and velocity the necessity for its application in economic strategies and policies has never been more critical. ICEMBDA 2025 addresses this urgency acting as a pivotal platform for academic and industry professionals to synergize knowledge and foster advancements.

Conference Themes

ICEMBDA 2025 will center around a wide range of themes pertinent to the intersection of economics management and big data:

Big Data Analytics and Economic Forecasting - Utilizing big data in predictive analytics to forecast economic trends and inform policy making.

Data-Driven Decision Making in Business and Economics - Methods and technologies that support data-driven strategies in businesses and economic institutions.

Ethics and Privacy in Big Data - Addressing the ethical considerations and privacy concerns arising from extensive big data utilization in economic management.

Technological Innovations in Big Data - Exploring advancements in data processing AI and machine learning that enhance economic data analysis.

Impact of Big Data on Economic Policy and Management - Examining how big data has transformed public and private sector economics focusing on efficiency accuracy and compliance.

Case Studies on Big Data Applications in Various Economic Sectors - Success stories and lessons learned from applying big data solutions across different branches of economics.

ICEMBDA 2025 sincerely invites you to join us!

Important Dates

Full Paper Submission Date：June 10 2025

Registration Deadline:June 20 2025

Final Paper Submission Date:July 1 2025

Conference Dates:July 11-13 2025

Call For Papers

2025 6th International Conference on Economic Management and Big Data Application （ICEMBDA 2025） is soliciting articles from scholars around the world on economics management big data and other fields.

Topics of interest for submission include but are not limited to:

Economics

• · Finance and Trade
• · Macroeconomics
• · consumer behavior
• · E-commerce and Digital Services
• · Agriculture and Forestry Economy
• · Economic and industrial development
• · Financial Management and Accounting
• · International Economy and Global Trade
• · Economic Statistics Issues under Big Data
• · Predictive Models and Economic Research
• · Econometric models and empirical problems
• · Blockchain Technology and Regional Economy
• · Natural Resource Economics and Management
• · Sustainable Economy and Low Carbon Economy
• · Rural Economic Construction and Transformation
• · Information Economy and Enterprise Management
• · Performance evaluation and modeling applications
• · The Model and Path of Sustainable Economic Development

Management

• · social management
• · management science
• · financial management
• · business management
• · supply chain management
• · administrative management
• · Operations and Management
• · Enterprise Trade Management
• · Big Data and Cloud Computing
• · Enterprise Business Management
• · management information systems
• · Enterprise Marketing Management
• · customer relationship management
• · International business management
• · Enterprise operation and management
• · Strategic Human Resource Management
• · Intelligent Management Information System
• · Public Management in the New Economic Era
• · Enterprise Development and Strategic Marketing

Big Data

• · Data driven
• · data warehouse
• · IoT big data applications
• · Model fitting and data analysis
• · Model fitting and data analysis
• · Visualize large-scale security data
• · Computers and Artificial Intelligence
• · Service computing big data application
• · Analysis of Multimedia Data Applications
• · Intelligent agent modeling and 3D modeling
• · Software and tools for big data management
• · Mathematical models and regression analysis
• · Big Data Encryption and Security Applications
• · Big Data Analysis of Business Model Innovation
• · Database management and information retrieval
• · Big data analysis of enterprises governments and society
• · Data mining data warehousing and knowledge discovery
• · Algorithms and programming techniques for big data analysis and processing

Publication

All papers both invited and contributed will be reviewed by two or three experts from the committees. After a careful reviewing process all accepted papers of ICEMBDA 2025 will be published in conference proceedings and submitted to Ei Compendex and Scopus （Subject to acceptance）.

Note: All submitted articles should report original research results experimental or theoretical not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of any academics. Hence any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.