This track explores the impact of digital transformation on various social science disciplines. It aims to uncover how digital tools and methodologies are reshaping research and practice in areas such as sociology, psychology, and anthropology.

This session focuses on the application of big data analytics within the humanities. Participants will discuss innovative approaches to analyzing large datasets and their implications for understanding cultural and historical phenomena.

This track examines the role of artificial intelligence in enhancing information science practices. It will cover topics such as AI-driven information retrieval, natural language processing, and the ethical considerations surrounding AI applications.

This session highlights the integration of machine learning techniques in social research methodologies. Attendees will explore case studies and frameworks that demonstrate the effectiveness of machine learning in deriving insights from social data.

This track investigates the intersection of data analytics and knowledge management. It aims to showcase strategies for leveraging data analytics to enhance knowledge sharing, retention, and organizational learning.

This session focuses on innovative cloud computing solutions that facilitate research and collaboration in the social sciences. Discussions will include the benefits and challenges of cloud-based tools for data storage and analysis.