Pre-Enrollment

27th May 2027

Final Paper Submission

1st June 2027

Registration Deadline

11th June`2027

Conference Date

26th Jun - 27th Jun 2027

Call for Papers

The International Conference on Data Science, AI, and Information Technology invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Information Science, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Ai Applications In Data Science
02
Machine Learning Algorithms And Techniques
03
Data-driven Decision Making In Organizations
04
Ethics In Ai And Data Science
05
Data Science For Social Good Initiatives
06
Big Data Analytics In Various Domains
07
Predictive Modeling And Analytics
08
Data Visualization Best Practices
09
Natural Language Processing In Data Science
10
Data Science Education And Training
11
Data Mining Techniques For Insights
12
Ai And Automation In Information Technology
13
Data Science For Healthcare Innovations
14
Challenges In Implementing Ai Solutions
15
Interdisciplinary Approaches To Data Science
16
Data Privacy And Security In Ai
17
Real-time Analytics For Business Intelligence
18
Future Trends In Ai And Data Science
19
Data Ethics And Responsible Ai
20
Case Studies In Data Science Applications
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review