Hybrid Conferencee

International Conference on Computational Intelligence and Data Science Applications (ICCIDS - 26)

10th - 11th October 2026 | Chicago, USA

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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 Chicago. 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 Chicago 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 Chicago conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Chicago, 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 Chicago."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCIDS 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 Data 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
Computational intelligence in data science
02
Data science applications in industry
03
Machine learning for data-driven solutions
04
AI techniques for data analysis
05
Big data analytics in computational intelligence
06
Data-driven decision support systems
07
Computational models for data analysis
08
Applications of AI in data science
09
Data mining for intelligent systems
10
Real-time data processing techniques
11
Ethics of computational intelligence applications
12
Collaborative intelligence in data science
13
Data visualization in computational intelligence
14
Big data challenges in AI applications
15
Interdisciplinary research in data science
16
Computational methods for predictive analytics
17
AI for social good initiatives
18
Future trends in computational intelligence
19
Data-driven innovations in technology
20
Computational intelligence for complex problems