Registration summary
ConferenceICKEIS
ModeStandard / Physical
ParticipationListener
Registration fee$175.00
Bank charges (5.8%)$10.15
Total payable$185.15
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICKEIS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Knowledge Engineering +
This track focuses on the latest methodologies and frameworks in knowledge engineering, emphasizing their application in social sciences and humanities. Researchers are encouraged to present innovative approaches that enhance knowledge representation and retrieval.
02 Artificial Intelligence in Social Research +
This session explores the integration of artificial intelligence techniques in social research, highlighting case studies and practical applications. Participants will discuss the implications of AI on data collection, analysis, and interpretation in the social sciences.
03 Ontologies and Semantic Web Applications +
This track examines the role of ontologies in structuring knowledge and facilitating information sharing on the semantic web. Contributions should address the development, implementation, and evaluation of ontological frameworks in various domains of social science.
04 Data Analytics for Social Insights +
This session invites papers that utilize data analytics to derive insights into social phenomena and human behavior. Researchers will present methodologies that leverage big data to inform policy-making and societal development.
05 Knowledge Discovery Techniques +
This track focuses on innovative techniques for knowledge discovery in large datasets, particularly within the context of social sciences. Contributions should highlight the challenges and solutions in extracting meaningful patterns and insights from complex data.
06 Machine Learning in Humanities Research +
This session explores the application of machine learning algorithms in humanities research, including text analysis and cultural data interpretation. Participants will discuss the potential and limitations of these technologies in enhancing scholarly inquiry.
07 Digital Innovation in Information Science +
This track addresses the impact of digital innovation on the field of information science, focusing on emerging technologies and their implications for knowledge management. Papers should explore how digital tools are transforming information access and dissemination.
08 Ethical Considerations in Data Science +
This session invites discussions on the ethical implications of data science practices in social research. Contributors will examine issues related to privacy, bias, and the responsible use of data in informing social policies.
09 Interdisciplinary Approaches to Knowledge Engineering +
This track encourages interdisciplinary research that combines knowledge engineering with other fields within the social sciences and humanities. Papers should showcase collaborative efforts that enrich the understanding of complex social issues.
10 Innovations in Data Visualization +
This session focuses on the role of data visualization in enhancing comprehension and communication of social science research findings. Contributions should highlight innovative techniques and tools that facilitate effective data storytelling.
11 Future Trends in Information Science +
This track explores emerging trends and future directions in information science, particularly in relation to social sciences and humanities. Researchers are invited to speculate on the evolution of knowledge systems and their societal impact.
