Hybrid Conferencee

International Conference on Data Science and Artificial Intelligence in Sport (ICDSAIS - 26)

5th - 6th November 2026 | Budapest, Hungary

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

Call for Paper

The ICDSAIS 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 Sport 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
Machine learning applications in sports
02
Data visualization techniques for sports analytics
03
Predictive modeling in athletic performance
04
AI-driven injury prevention strategies
05
Big data challenges in sports research
06
Real-time analytics for game strategy
07
Impact of data on coaching decisions
08
Ethics of data use in sports
09
Fan engagement through data science
10
Data integration across sports disciplines
11
Performance metrics for team sports
12
AI in sports broadcasting and media
13
Data-driven marketing strategies in sports
14
Social media analytics for sports teams
15
Quantifying athlete performance with AI
16
Data privacy concerns in sports analytics
17
Using AI for talent identification
18
Data science education in sports fields
19
Collaboration between data scientists and coaches
20
Future of AI in sports management