Proceedings of the 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024)

The 5th International Conference on Economic Management and Big Data Applications (ICEMBDA 2024) is scheduled to be held in Tianjin, China on October 25–27, 2024.

The 5th International Conference on Economic Management and Big Data Application (ICEMBDA 2024) 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 2024 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 2024 addresses this urgency, acting as a pivotal platform for academic and industry professionals to synergize knowledge and foster advancements.

Conference Themes

ICEMBDA 2024 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.