The International Conference on Digital Transformation and Information Science (ICDTRIS - 27) features a diverse range of session tracks designed to cover key research areas, emerging trends and interdisciplinary innovations within the field of Information Science.
These sessions provide a platform for researchers, academicians, industry professionals and practitioners to present their work, exchange ideas and explore the advancements shaping the future of the domain.
Each track is carefully curated to encourage knowledge sharing, collaboration and meaningful discussion, and is aligned with the United Nations Sustainable Development Goals.
Submit Your AbstractInternational Conference on Digital Transformation and Information Science (ICDTRIS - 27) 设有多个分会主题,涵盖重要研究领域、前沿趋势与跨学科创新成果。
各分会主题为研究人员、学者、行业专家及实务工作者提供展示研究成果、交流学术思想、探讨领域发展的平台。
每个分会主题均经过精心设置,旨在促进知识共享、学术合作与深入研讨,并与联合国可持续发展目标(SDGs)保持一致。
提交摘要The session tracks of International Conference on Digital Transformation and Information Science (ICDTRIS - 27) support the following United Nations Sustainable Development Goals through research, collaboration and knowledge exchange.
本次会议的分会主题通过科研、合作与知识交流,支持以下联合国可持续发展目标。
Browse every track scheduled for this conference.
浏览本次会议的全部分会主题。
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.
SDG 4
SDG 9
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.
SDG 4
SDG 11
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.
SDG 9
SDG 16
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.
SDG 4
SDG 9
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.
SDG 4
SDG 17
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.
SDG 9
SDG 11
This track explores the implications of smart systems on society and human behavior. Participants will analyze how these technologies influence social interactions, decision-making, and community dynamics.
SDG 11
SDG 16
This session addresses the ethical considerations arising from digital transformation in information science. Topics will include data privacy, algorithmic bias, and the responsibilities of researchers and practitioners.
SDG 10
SDG 16
This track promotes interdisciplinary collaboration in understanding digital transformation across various fields. It encourages contributions that bridge gaps between social sciences, humanities, and technology.
SDG 4
SDG 17
This session investigates the role of social media as a tool for information dissemination in the social sciences. Participants will discuss its effectiveness, challenges, and the implications for public engagement and knowledge sharing.
SDG 4
SDG 16
This track anticipates future trends in information science driven by digital transformation. It will explore emerging technologies and their potential impact on research methodologies, data management, and knowledge creation.
SDG 9
SDG 11
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