Consistent Academic Support
Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.
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Conference Program
Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.
Why it matters
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Explore
All Session Tracks
Track 01
Advancements in Knowledge Representation
This track focuses on the latest methodologies and frameworks in knowledge representation within social sciences and humanities. Contributions that explore the integration of ontologies and semantic web technologies are particularly encouraged.
Track 02
Semantic Web Technologies in Information Science
This session will delve into the application of semantic web technologies in enhancing information retrieval and data interoperability. Papers that discuss real-world implementations and case studies are welcome.
Track 03
Artificial Intelligence in Social Research
This track invites discussions on the role of artificial intelligence in advancing social research methodologies. Submissions should highlight innovative AI applications that facilitate data analysis and interpretation.
Track 04
Knowledge Engineering for Social Sciences
This session aims to explore the principles and practices of knowledge engineering tailored for social science applications. Papers that address the challenges and solutions in developing knowledge-based systems are encouraged.
Track 05
Data Analytics in Humanities Research
This track focuses on the utilization of data analytics techniques to uncover insights in humanities research. Contributions that demonstrate the impact of data-driven approaches on traditional humanities disciplines are sought.
Track 06
Machine Learning Applications in Information Science
This session will examine the transformative potential of machine learning techniques in the field of information science. Papers that showcase novel applications and theoretical advancements are particularly welcome.
Track 07
Data Mining Techniques for Social Insights
This track invites papers that explore data mining techniques aimed at extracting meaningful patterns and insights from social data. Contributions should emphasize methodological innovations and their implications for social science research.
Track 08
Ontology Development for Information Systems
This session will focus on the development and application of ontologies in enhancing information systems. Papers that address the challenges of ontology design and implementation in various domains are encouraged.
Track 09
Interdisciplinary Approaches to Knowledge Representation
This track seeks to foster interdisciplinary dialogue on knowledge representation across various fields within social sciences and humanities. Contributions that bridge gaps between disciplines through innovative representation techniques are welcome.
Track 10
Ethical Considerations in AI and Data Science
This session will address the ethical implications of using AI and data science in social research. Papers that explore frameworks for responsible research practices and ethical data usage are highly encouraged.
Track 11
Future Directions in Information Science
This track aims to discuss emerging trends and future directions in information science as they relate to social sciences and humanities. Contributions that propose new research agendas or highlight potential challenges are particularly welcome.