Registration summary
ConferenceICCMIS
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
ICCMIS conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 Advancements in Computational Algorithms for Social Science Research +
This track focuses on the latest computational algorithms developed for analyzing social science data. Participants will explore innovative methodologies that enhance the accuracy and efficiency of social research.
02 Data Analytics Techniques in Humanities Studies +
This session will delve into the application of data analytics techniques within the humanities. Researchers will present case studies demonstrating how data-driven approaches can uncover new insights in cultural and historical contexts.
03 Machine Learning Applications in Social Sciences +
This track highlights the transformative role of machine learning in social science disciplines. Presentations will cover various applications, from predictive modeling to sentiment analysis, showcasing the potential of AI in understanding human behavior.
04 Knowledge Discovery in Social Data +
This session aims to explore methods of knowledge discovery from large social datasets. Participants will discuss techniques for extracting meaningful patterns and trends that inform social theories and practices.
05 Modeling and Simulation in Information Science +
This track examines the use of modeling and simulation techniques to address complex problems in information science. Attendees will learn about various models that simulate social phenomena and their implications for research.
06 Computational Intelligence in Social Research +
This session focuses on the integration of computational intelligence techniques in social research methodologies. Presenters will showcase how these techniques enhance decision-making processes and improve research outcomes.
07 Big Data and Its Impact on Social Science Research +
This track investigates the implications of big data on social science research methodologies. Discussions will center on the challenges and opportunities presented by vast datasets in understanding societal trends.
08 Ethical Considerations in Computational Social Science +
This session addresses the ethical implications of using computational methods in social science research. Participants will engage in discussions about privacy, data security, and the responsible use of algorithms.
09 Interdisciplinary Approaches to Information Science +
This track encourages interdisciplinary collaboration between information science and other fields within the social sciences. Presentations will highlight innovative projects that bridge gaps between disciplines to enhance research.
10 Visualization Techniques for Social Data Analysis +
This session will explore advanced visualization techniques for analyzing social data. Researchers will present tools and methods that facilitate the interpretation of complex datasets through effective visual representation.
11 Future Trends in Computational Methods for Social Sciences +
This track looks ahead to emerging trends in computational methods applicable to social sciences. Participants will discuss potential future developments and their implications for research and practice in the field.
