Important Dates
Early Bird Registration :19th July 2026
Paper Submission Deadline :24th July 2026
Last Date of Registration : 3rd August 2026
Date of Conference : 18th - 19th 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 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 Information Science
This track focuses on the latest developments in information science, emphasizing innovative methodologies and frameworks. Researchers are invited to present their findings on how these advancements impact various domains within social sciences and humanities.
Track 02
Machine Learning Applications in Social Sciences
This session explores the integration of machine learning techniques in social science research. Papers should highlight case studies and applications that demonstrate the effectiveness of these methods in understanding social phenomena.
Track 03
Data Mining Techniques for Knowledge Discovery
This track aims to discuss advanced data mining techniques that facilitate knowledge discovery in humanities research. Contributions should illustrate how these techniques can uncover hidden patterns and insights from complex datasets.
Track 04
Artificial Intelligence in Information Systems
This session examines the role of artificial intelligence in enhancing information systems within the social sciences. Papers should address the implications of AI technologies for data management, retrieval, and analysis.
Track 05
Big Data Analytics in Humanities Research
This track focuses on the utilization of big data analytics to address questions in the humanities. Researchers are encouraged to share their experiences and methodologies in analyzing large datasets to derive meaningful insights.
Track 06
Neural Networks for Predictive Modeling
This session delves into the application of neural networks for predictive modeling in social science contexts. Submissions should demonstrate how these models can forecast trends and behaviors based on historical data.
Track 07
Ethical Considerations in Data Science
This track addresses the ethical implications of data science practices in social research. Papers should discuss frameworks and guidelines for ensuring responsible use of data in the context of social sciences and humanities.
Track 08
Interdisciplinary Approaches to Information Science
This session encourages interdisciplinary research that merges information science with other fields within the social sciences and humanities. Contributions should highlight collaborative efforts and the benefits of cross-disciplinary methodologies.
Track 09
Innovative Data Visualization Techniques
This track focuses on the development and application of innovative data visualization techniques in social science research. Researchers are invited to present their work on how effective visualization can enhance data interpretation and communication.
Track 10
Challenges in Data Integration and Management
This session addresses the challenges faced in data integration and management within information systems. Papers should explore strategies for overcoming these challenges to improve data accessibility and usability.
Track 11
Future Trends in Information Science and Machine Learning
This track speculates on future trends and directions in information science and machine learning as they relate to social sciences. Contributions should provide insights into emerging technologies and methodologies that could shape future research.