International Conference on Computational Methods in Information Science

ICCMIS

3rd Nov – 4th Nov 2026 Montreal, Canada

Official Invitation Letter Available

An official invitation letter will be provided upon successful registration for your participation in the conference.

Benefits of Registering as Listener

Access to All Conference Sessions

Plenary, keynote and parallel sessions

Networking Opportunities

Connect with global educators & researchers

Certificate of Participation

Digital certificate of participation

Invitation Letter Support

Official invitation letter after successful registration

Conference Kit / Digital Materials

E-proceedings & resource materials

Access to Keynote Sessions

Learn from leading experts & scholars

Credit Card

Debit Card

Net Banking

Cash Card

Unified Payments

Select Registration Mode

Standard / Physical Participation USD

Join us on-site for keynotes, talks, workshops, networking, conference kit and certificate.

Virtual Participation USD

Participate online via live streaming. Includes live access to all sessions, digital materials and certificate.

Participant Details

Full Name *

Email Address *

Mobile Number with Country Code *

City *

State *

Country *

Zip / Postal Code *

Address *

Coupon Code

Terms & Condition

I agree to the Terms & Conditions and Refund & Cancellation Policy.

Read the full Terms & Conditions

Registration Summary

Conference ICCMIS

Date 3rd Nov – 4th Nov 2026

Location Montreal, Canada

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

Calculated based on 5.8% of the registration fee

Discount USD 0.00

Total Payable USD 0.00

100% Secure Payment

Your payment information is encrypted and processed securely.

Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

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.

SDG 4 SDG 9

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.

SDG 4 SDG 11

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.

SDG 8 SDG 9

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.

SDG 4 SDG 16

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.

SDG 9 SDG 11

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.

SDG 9 SDG 16

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.

SDG 9 SDG 11

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.

SDG 16

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.

SDG 4 SDG 17

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.

SDG 4 SDG 9

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.

SDG 9 SDG 11