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Call for Paper

The ICDSAITY emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Information Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

All submissions will undergo peer review to ensure quality and interdisciplinary relevance.

Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

👉 Register Now

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.

👉 Submit Your Research Work

Event Highlights

  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

Contact Us

    Have questions about submission, registration, or publication? We’re happy to help.

  • Email: [email protected]
  • Phone:+91 9940952512

We look forward to your participation and contribution to the ASPHER Conference.