International Conference on

Data Analytics and Knowledge Discovery (ICDAKD-26)

22nd – 23rd Sep 2026 | Abu Dhabi, UAE | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Conference Session Tracks

SDG Wheel

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
SDG 1 No Poverty
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 10
SDG 10 Reduced Inequalities
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 16
SDG 16 Peace, Justice and Strong Institutions
SDG 17
SDG 17 Partnerships for the Goals
Track 01

Advancements in Data Mining Techniques

This track focuses on the latest methodologies and algorithms in data mining that enhance the extraction of meaningful patterns from large datasets. Contributions that explore novel applications in social sciences and humanities are particularly encouraged.

Track 02

Machine Learning Applications in Social Sciences

This session will delve into the integration of machine learning techniques within social science research. Papers that demonstrate innovative uses of machine learning for data analysis and interpretation are welcome.

Track 03

Artificial Intelligence in Information Systems

This track examines the role of artificial intelligence in the development and optimization of information systems. Contributions that highlight AI-driven solutions for enhancing data management and retrieval in social contexts are sought.

Track 04

Predictive Analytics for Social Insights

This session aims to explore the use of predictive analytics in uncovering trends and insights within social phenomena. Researchers are invited to present studies that apply predictive models to real-world social issues.

Track 05

Data Visualization Techniques for Humanities Research

This track emphasizes the importance of data visualization in the humanities, showcasing techniques that effectively communicate complex data. Submissions that illustrate the impact of visualization on understanding cultural and social narratives are encouraged.

Track 06

Big Data Challenges in Social Science Research

This session addresses the challenges and opportunities presented by big data in the field of social sciences. Papers that discuss methodological innovations and ethical considerations are particularly welcome.

Track 07

Information Systems and User Experience

This track focuses on the intersection of information systems and user experience, exploring how design and usability impact data interaction. Contributions that analyze user behavior and system effectiveness are encouraged.

Track 08

Data Ethics in Social Research

This session will explore the ethical implications of data collection and analysis in social research. Papers that address privacy concerns, data governance, and responsible AI usage are particularly relevant.

Track 09

Interdisciplinary Approaches to Data Analytics

This track invites discussions on interdisciplinary methodologies that combine data analytics with social science theories. Researchers are encouraged to present collaborative works that bridge multiple fields.

Track 10

Real-Time Data Processing in Social Applications

This session examines the role of real-time data processing in enhancing social applications and services. Contributions that showcase innovative technologies and their societal impacts are welcome.

Track 11

The Future of Knowledge Discovery in Humanities

This track focuses on emerging trends and future directions in knowledge discovery within the humanities. Papers that propose new frameworks or technologies for enhancing knowledge extraction are encouraged.

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