This track explores the impact of digital transformation on social science research methodologies and practices. It aims to highlight innovative approaches that leverage technology to enhance data collection, analysis, and dissemination.

This session focuses on the application of big data analytics in the humanities, examining how large datasets can inform cultural and historical studies. Participants will discuss case studies that illustrate the intersection of data science and humanities scholarship.

This track investigates the role of artificial intelligence in advancing information science, including its applications in data management and retrieval. Papers will explore both theoretical frameworks and practical implementations of AI technologies in the field.

This session delves into the utilization of machine learning techniques in social research, focusing on predictive modeling and pattern recognition. Researchers will present findings that demonstrate the effectiveness of these methods in addressing social phenomena.

This track examines how cloud computing facilitates collaborative research in social sciences and humanities. It will address the challenges and benefits of using cloud-based platforms for data sharing and joint projects among researchers.

This session highlights innovative approaches to knowledge systems that enhance information dissemination and accessibility. Discussions will center on the integration of new technologies to improve knowledge management practices.