Important Dates
Early Bird Registration :6th July 2026
Paper Submission Deadline :11th July 2026
Last Date of Registration : 21st July 2026
Date of Conference : 5th - 6th August 2026
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.
SDG 1 — No Poverty
SDG 4 — Quality Education
SDG 8 — Decent Work and Economic Growth
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 11 — Sustainable Cities and Communities
SDG 16 — Peace, Justice and Strong Institutions
SDG 17 — Partnerships for the Goals
Track 01
Advancements in Machine Learning for Social Sciences
This track explores the latest developments in machine learning techniques and their applications within social science research. Participants will discuss case studies and methodologies that enhance understanding of social phenomena through data-driven insights.
Track 02
Artificial Intelligence in Humanities Research
This session focuses on the integration of artificial intelligence tools in humanities research, highlighting innovative applications and their impact on traditional methodologies. Scholars will present findings that demonstrate how AI can augment humanistic inquiry.
Track 03
Data Mining Techniques for Social Data Analysis
This track examines the role of data mining in extracting meaningful patterns from social data. Presenters will share methodologies and case studies that illustrate the effectiveness of data mining in addressing complex social issues.
Track 04
Knowledge Discovery in Social Networks
This session delves into knowledge discovery processes within social networks, emphasizing techniques that reveal insights into social behaviors and interactions. Researchers will present their findings on how network analysis can inform social science theories.
Track 05
Decision Support Systems in Social Policy Making
This track investigates the application of decision support systems in the formulation and evaluation of social policies. Participants will discuss frameworks and tools that facilitate data-driven decision-making in public administration.
Track 06
Big Data Analytics in Social Research
This session highlights the transformative potential of big data analytics in social research, focusing on methodologies that leverage large datasets for empirical studies. Scholars will present innovative approaches to analyzing big data within the context of social science.
Track 07
Smart Systems for Community Engagement
This track explores the development and implementation of smart systems aimed at enhancing community engagement and participation. Presentations will showcase successful projects that utilize technology to foster social cohesion and collaboration.
Track 08
Ethical Considerations in Intelligent Information Systems
This session addresses the ethical implications of deploying intelligent information systems in social science and humanities research. Experts will discuss frameworks for ensuring responsible use of technology in sensitive social contexts.
Track 09
Interdisciplinary Approaches to Information Science
This track promotes interdisciplinary collaboration between information science and social sciences, encouraging dialogue on shared methodologies and challenges. Participants will explore how diverse perspectives can enrich research outcomes.
Track 10
User-Centric Design in Information Systems
This session focuses on the importance of user-centric design principles in the development of information systems for social applications. Researchers will present case studies that highlight the impact of usability on system effectiveness.
Track 11
Future Trends in Intelligent Information Systems
This track anticipates future developments in intelligent information systems and their implications for social science and humanities research. Participants will engage in discussions about emerging technologies and their potential to reshape the field.