ICDTIS · Registering as Listener

International Conference on Digital Transformation and Information Science

12th Nov – 13th Nov 2026 Mazyr, Belarus Standard / Physical Participation
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ConferenceICDTIS
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Conference Session Tracks
SDG Wheel

SDG-Aligned Research Themes

International Conference on Digital Transformation and Information Science conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 4 - Quality Education SDG 9 - Industry, Innovation and Infrastructure SDG 10 - Reduced Inequalities SDG 11 - Sustainable Cities and Communities

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.

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.

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.

This track promotes interdisciplinary collaboration in understanding digital transformation across various fields. It encourages contributions that bridge gaps between social sciences, humanities, and technology.

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.

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.

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