Hybrid Conferencee

International Conference on Computational Methods in Information Science (ICCMIS - 26)

3rd - 4th November 2026 | Barcelona, Spain

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Barcelona. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Barcelona event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Barcelona conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Barcelona, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Barcelona."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.

Track 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.