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

21st - 22nd August 2026 Jakarta Raya, Indonesia
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Join researchers, academicians, professionals, and industry experts to exchange ideas, strengthen academic collaboration, and explore research-driven practices across diverse disciplines.

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Professional Academic Experience

Participate in structured academic sessions, expert discussions, and professional knowledge-sharing opportunities.

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Benefits of Registering as Listener
Access to Conference Sessions

Attend keynote, plenary and technical sessions across relevant academic tracks.

Academic Networking

Connect with researchers, professionals, academicians and industry specialists.

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Receive an official participation certificate after successful attendance.

Invitation Letter Support

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Conference Materials

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Professional Insights

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The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
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4 Terms & Condition
Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to event@after.org.in. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to event@after.org.in

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Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 8 SDG 9 SDG 16
01 Predictive Analytics in Sports Performance
This track focuses on the application of predictive analytics to enhance athlete performance and game strategies. Researchers are encouraged to present methodologies that leverage historical data to forecast outcomes in various sports contexts.
02 Machine Learning Techniques for Athlete Monitoring
This session will explore innovative machine learning approaches for real-time athlete monitoring and health assessment. Contributions should highlight the integration of wearable technology and data analysis to optimize athlete well-being.
03 AI-Driven Training Regimens
This track examines the development of AI-driven training programs tailored to individual athlete needs. Papers should discuss the effectiveness of personalized training plans based on data-driven insights.
04 Computational Modeling in Sports Science
This session invites discussions on computational modeling techniques used to simulate sports scenarios and athlete performance. Submissions should demonstrate how these models can inform coaching decisions and strategy development.
05 Data Visualization for Sports Analytics
This track emphasizes the importance of data visualization in interpreting complex sports data. Researchers are encouraged to present innovative visualization techniques that enhance understanding and decision-making in sports analytics.
06 Performance Optimization through Data Science
This session will focus on methodologies that utilize data science to optimize athletic performance across various sports disciplines. Contributions should provide insights into performance metrics and data-driven strategies.
07 Smart Coaching: Integrating AI in Training
This track explores the role of artificial intelligence in transforming coaching practices. Papers should discuss how AI tools can support coaches in developing strategies and improving athlete performance.
08 Sports Data Analysis: Trends and Innovations
This session seeks to highlight recent trends and innovations in sports data analysis. Researchers are invited to share case studies and findings that showcase the impact of data analysis on sports outcomes.
09 Decision Support Systems in Sports Management
This track focuses on the development and application of decision support systems in sports management. Contributions should demonstrate how these systems can aid in strategic planning and operational efficiency.
10 Ethics and Challenges in AI for Sports
This session will address the ethical considerations and challenges associated with the implementation of AI technologies in sports. Discussions should encompass data privacy, bias, and the implications of AI on athlete autonomy.
11 Interdisciplinary Approaches to Sports Science
This track encourages interdisciplinary research that combines data science, artificial intelligence, and sports science. Papers should explore collaborative methodologies that enhance understanding and innovation in sports performance.