International Conference on Sports Analytics and Data-Driven Decision Making
(ICSADD-26)

27th September 2026 || Hyderabad - India || Hybrid Mode

Proudly Organized by INRI

Join global experts to share ideas, connect, and innovate.
🎉 Coupon Copied Successfully!

Conference Session Tracks

The International Conference on Sports Analytics and Data-Driven Decision Making (ICSADD), scheduled to be held on 27th September 2026 in Hyderabad, India, features a diverse range of session tracks covering key research areas, emerging trends and interdisciplinary innovations within the field of Sports Technology.

Each track offers researchers, academicians, industry professionals and practitioners a platform to present their work, exchange ideas and explore the advancements shaping the future of the domain. Every track is curated to encourage knowledge sharing, collaboration and meaningful discussion.

All Session Tracks
  • Track 01 – Advancements in Sports Analytics
    This track focuses on the latest methodologies and technologies in sports analytics that enhance performance evaluation. Contributions should explore innovative approaches to data collection and analysis in various sports disciplines. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 02 – Machine Learning Applications in Sports Science
    This session will delve into the application of machine learning techniques in sports science, emphasizing predictive modeling and performance forecasting. Papers should highlight case studies or novel algorithms that demonstrate significant improvements in athlete performance. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 03 – Injury Prevention and Athlete Monitoring
    This track addresses the critical role of technology in monitoring athlete health and preventing injuries. Submissions should discuss wearable technologies, data analytics, and their impact on athlete safety and performance longevity. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 04 – Coaching Analytics: Enhancing Decision Making
    This session aims to explore how analytics can support coaches in making informed decisions. Contributions should focus on tools and techniques that assist in strategy development and athlete management. Aligned SDGs: SDG 4 – Quality Education  |  SDG 8 – Decent Work and Economic Growth
  • Track 05 – Functional Training and Performance Optimization
    This track investigates the integration of functional training methodologies with data-driven insights to optimize athlete performance. Papers should present empirical research or practical applications that demonstrate the effectiveness of these approaches. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 06 – Digital Tools for Athlete Development
    This session will highlight the role of digital tools in the holistic development of athletes. Submissions should examine how technology facilitates skill acquisition, mental training, and overall athlete growth. Aligned SDGs: SDG 4 – Quality Education  |  SDG 8 – Decent Work and Economic Growth
  • Track 07 – Endurance and Strength Training Analytics
    This track focuses on the analytical approaches to endurance and strength training, emphasizing data-driven strategies for performance enhancement. Contributions should include empirical studies or innovative training regimens supported by analytics. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 4 – Quality Education
  • Track 08 – Motion Analysis in Sports Performance
    This session explores the advancements in motion analysis technologies and their applications in improving sports performance. Papers should discuss the implications of motion capture and analysis on technique refinement and injury reduction. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 09 – Artificial Intelligence in Sports Medicine
    This track examines the intersection of artificial intelligence and sports medicine, focusing on diagnostic tools and treatment protocols. Contributions should highlight AI-driven innovations that enhance athlete care and rehabilitation. Aligned SDGs: SDG 3 – Good Health and Well-being  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 10 – Predictive Models in Sports Performance
    This session will explore the development and application of predictive models in assessing and enhancing sports performance. Papers should present novel modeling techniques and their practical implications for coaches and athletes. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
  • Track 11 – Emerging Technologies in Sports Training
    This track investigates the impact of emerging technologies on sports training methodologies. Contributions should explore how innovations such as virtual reality, augmented reality, and advanced analytics are reshaping training practices. Aligned SDGs: SDG 4 – Quality Education  |  SDG 9 – Industry, Innovation and Infrastructure
Alignment with the Sustainable Development Goals
Alongside its academic focus, the conference promotes responsible research, ethical practice and knowledge-driven development. Its session tracks collectively contribute to the following United Nations Sustainable Development Goals.
  • SDG 3 SDG 3
    Good Health and Well-being
  • SDG 4 SDG 4
    Quality Education
  • SDG 8 SDG 8
    Decent Work and Economic Growth
  • SDG 9 SDG 9
    Industry, Innovation and Infrastructure

Need Assistance?

If you need any clarification on the session tracks or support with your submission, please feel free to reach out to us:

Email: [email protected]

Phone: +91 9677007228