This track focuses on the innovative applications of information systems in social science research. It aims to explore how these systems can enhance data collection, analysis, and interpretation in various social contexts.

This session will examine the role of big data analytics in transforming humanities research. Participants will discuss methodologies and case studies that illustrate the impact of data-driven approaches on traditional humanities disciplines.

This track will delve into machine learning methodologies tailored for analyzing social data. Researchers are invited to present their findings on how these techniques can uncover patterns and trends in social phenomena.

This session will explore the digital transformation processes within social science institutions. Discussions will focus on the challenges and opportunities presented by adopting new technologies and data-driven practices.

This track will highlight the advantages of cloud computing in facilitating data-intensive research in social sciences and humanities. Presenters will share insights on scalability, accessibility, and collaborative research enabled by cloud technologies.

This session will address the critical issues of information security in the context of social research. Experts will discuss strategies to protect sensitive data while ensuring compliance with ethical standards.