Conference 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.
SDG 1
No Poverty
SDG 4
Quality Education
SDG 9
Industry, Innovation and Infrastructure
SDG 10
Reduced Inequalities
SDG 11
Sustainable Cities and Communities
SDG 16
Peace, Justice and Strong Institutions
Track 01
Knowledge Representation in Social Sciences
This track focuses on the methodologies and frameworks for representing knowledge within social science domains. It aims to explore how knowledge representation can enhance understanding and analysis of social phenomena.
Track 02
Artificial Intelligence in Linguistic Analysis
This session will delve into the applications of artificial intelligence techniques in the field of linguistics. Participants will discuss innovative approaches to language processing and understanding through AI.
Track 03
Ontologies and the Semantic Web in Humanities
This track examines the role of ontologies in structuring knowledge within the humanities. It will highlight the integration of semantic web technologies to enhance accessibility and interoperability of cultural data.
Track 04
Knowledge Graphs for Social Research
This session will explore the construction and utilization of knowledge graphs in social research. Emphasis will be placed on their potential to uncover relationships and insights within complex social datasets.
Track 05
Reasoning Systems in Social Science Applications
This track investigates the development and application of reasoning systems in social science contexts. It will cover both theoretical frameworks and practical implementations that support decision-making processes.
Track 06
Expert Systems in Social Policy Analysis
This session will focus on the design and application of expert systems for analyzing social policies. Discussions will include case studies demonstrating the impact of these systems on policy formulation and evaluation.
Track 07
Symbolic AI in Linguistic Research
This track will highlight the contributions of symbolic AI to the field of linguistic research. It will cover topics such as formal language representation and the implications for natural language understanding.
Track 08
Machine Learning Techniques in Social Sciences
This session will explore the application of machine learning techniques to address challenges in social sciences. Participants will share insights on data-driven approaches to social phenomena analysis.
Track 09
Conceptual Modeling for Social Knowledge Systems
This track focuses on the development of conceptual models that facilitate the understanding of social knowledge systems. It aims to bridge theoretical concepts with practical applications in social research.
Track 10
Knowledge Discovery in Humanities Data
This session will examine techniques for knowledge discovery within humanities datasets. Participants will discuss innovative methods for extracting meaningful insights from diverse cultural and historical data.
Track 11
Cognitive Computing in Social Science Research
This track will explore the intersection of cognitive computing and social science research. It will highlight how cognitive systems can enhance analytical capabilities and improve understanding of human behavior.
