Special Joint Workshop with EWA Publishing

Intersection between Information Technology and Quantitative Management

Dr. Qihang Hu, School of Economics, Peking University, China, huqihang@pku.edu.cn

Dr. Yi Qu, Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, China, quyi17@mails.ucas.ac.cn

Recent advancements in information technology, particularly the emergence of artificial intelligence (AI) tools such as machine learning, deep learning, and large language models, have significantly impacted the field of management science. Leveraging their powerful capabilities to analyze unstructured data including text, images, and videos rich in information, these advanced IT techniques have enabled numerous tasks to be performed with greater efficiency and effectiveness. This Special Joint Workshop titled "Intersection of Information Technology and Quantitative Management" is a collaborative effort between the ITQM 2025 organizing committee and EWA Publishing. This workshop aims to provide a dynamic platform for researchers and practitioners, including contributors from EWA Publishing, to discuss and explore the integration of cutting-edge IT advancements with quantitative management methodologies. Participants will have the opportunity to publish their research findings through EWA Publishing, ensuring that innovative work in this domain reaches a global audience.

This workshop will focus on a range of interdisciplinary topics, including but not limited to:
  • Big Data Mining Theories and Tools
  • Quantitative Analysis and Quantitative Management
  • IT-supported Decision Support System
  • Optimization Techniques in Data Mining
  • Business Intelligence & Analytics
  • Statistical Techniques in Quantitative Management
  • Machine learning and deep learning