Hybrid Conferencee

International Conference on Information Science and Big Data Analytics (ICISBDA - 26)

3rd - 4th November 2026 | Melbourne, Australia

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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 Melbourne. 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 Melbourne 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 Melbourne conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Melbourne, 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 Melbourne."
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 1
SDG 1 No Poverty
SDG 4
SDG 4 Quality Education
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advancements in Information Science

This track focuses on the latest developments in information science, emphasizing theoretical frameworks and practical applications. Participants will explore innovative methodologies that enhance the understanding of information systems.

Track 02

Big Data Analytics in Social Research

This session highlights the role of big data analytics in social science research, examining case studies and methodologies. Attendees will discuss how large datasets can inform social theories and policy-making.

Track 03

Machine Learning Techniques for Data Discovery

This track delves into machine learning techniques that facilitate knowledge discovery from vast datasets. Presentations will cover algorithmic advancements and their implications for various fields within the humanities.

Track 04

Artificial Intelligence in Information Systems

This session explores the integration of artificial intelligence within information systems, focusing on enhancing user experience and system efficiency. Discussions will include AI-driven tools that support information retrieval and management.

Track 05

Data Visualization for Enhanced Understanding

This track emphasizes the importance of data visualization in conveying complex information clearly and effectively. Participants will examine best practices and innovative tools that aid in the interpretation of big data.

Track 06

Cloud Computing and Data Management

This session investigates the impact of cloud computing on data management practices in the social sciences. Attendees will discuss scalability, accessibility, and security issues related to cloud-based information systems.

Track 07

Predictive Analytics in Social Sciences

This track focuses on the application of predictive analytics in social science research, highlighting models that forecast trends and behaviors. Participants will share insights on the ethical implications and accuracy of predictive methods.

Track 08

Ethics and Privacy in Data Science

This session addresses the ethical considerations and privacy concerns surrounding data science in the social sciences. Discussions will include regulatory frameworks and best practices for responsible data usage.

Track 09

Interdisciplinary Approaches to Information Science

This track encourages interdisciplinary collaboration in information science, showcasing research that bridges social sciences and technology. Participants will explore how diverse perspectives can enrich data analysis and interpretation.

Track 10

Innovations in Knowledge Discovery

This session highlights innovative approaches to knowledge discovery, focusing on techniques that extract meaningful insights from unstructured data. Attendees will discuss the implications of these innovations for research and practice.

Track 11

Trends in Data-Driven Decision Making

This track examines the trends in data-driven decision making within social sciences, emphasizing the role of analytics in shaping policies and practices. Participants will share case studies that illustrate successful implementations of data-informed strategies.