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."

Call for Paper

The ICISBDA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Information Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Big data analytics techniques and tools
02
Data-driven decision making in organizations
03
Data mining for business intelligence
04
Ethics in big data analytics
05
Big data in healthcare applications
06
Real-time analytics for big data
07
Data visualization for big data insights
08
Big data challenges and solutions
09
Predictive analytics in various domains
10
Big data technologies and frameworks
11
Data governance in big data environments
12
Big data and social media analytics
13
Interdisciplinary approaches to big data
14
Big data for smart cities initiatives
15
Future trends in big data analytics
16
Big data security and privacy issues
17
Case studies in big data applications
18
Big data in financial services
19
Big data for environmental monitoring
20
Big data and machine learning integration