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ICSCDSA · Registering as Listener
International Conference on Statistical Computing and Data Science Applications
19–20 Aug 2026
Manila, Philippines
Standard / Physical
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$
159
virtual · $231 in person
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Standard / Physical
$231
On-site keynotes, talks, workshops, networking, conference kit and certificate.
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$159
Live streaming access to all sessions, digital materials and certificate.
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Standard Registration Closed
The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
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1. Policy on Cancellations & Refunds :
A full refund is possible only if the cancellation request is submitted at least 70 days before the conference, with formal paperwork completed at least 60 days prior.
If cancellation occurs between 60 and 30 days before the event, partial refunds may be granted based on administrative costs incurred.
Cancellations made within 30 days of the event are non-refundable, though participants will receive a credit valid for one year.
Registrations made less than 30 days before the event are not eligible for refunds, but may be transferred to another ISIT conference.
Since this conference is hybrid format, the organizer reserves the right to conduct the event either in-person or virtually. Please note that no refunds will be issued due to changes in the event format.
Virtual registration fees are non-refundable. A credit will instead be issued for use at a future conference event.
2. Participation & Registration Requirements :
To attend an ISIT event, participants must complete the registration process within the stipulated time.
The event schedule, venue, and format are subject to changes at the discretion of the organizers, with prior notice sent via email.
ISIT is not liable for any financial losses resulting from changes in event details.
Fees paid for registration are strictly non-refundable.
If the primary author cannot participate, a co-author may attend instead, but refunds will not be granted for non-attendance.
3. Submission & Publication Norms :
Researchers submitting papers to ISIT must ensure their institution or supervisor is aware of their submission.
Each submission is subject to a rigorous peer review before being accepted for presentation.
Only papers linked to a completed registration will be included in conference proceedings.
The submitting author is considered the primary author; ISIT does not verify individual authorship claims.
If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.
Once a paper is removed, it cannot be reintroduced into any ISIT publication.
4. Travel & Accommodation Responsibilities :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
5. Visa & Invitation Letter Policy :
Attendees are responsible for making their own travel and lodging arrangements.
ISIT does not provide logistical assistance for travel or accommodation.
The organization bears no responsibility for expenses incurred due to conference modifications or rescheduling.
ISIT does not engage directly with consulates or embassies on behalf of attendees.
Participants must handle their own visa applications and processes.
Important Information Regarding Invitation Letters:
The invitation letter is provided solely for conference attendance and does not serve as a document for immigration, employment, or residency purposes.
The letter assists in visa applications but does not guarantee visa approval.
ISIT holds no responsibility for visa denials or processing delays, and all related costs are borne by the applicant.
Any alterations or unauthorized use of the invitation letter will result in its invalidation and possible cancellation of conference participation.
Legal action may be pursued if the document is misused.
By accepting the invitation letter, attendees agree to comply with international travel regulations and ethical participation standards.
6. Registration Transfers :
Registrations may be transferred to another individual from the same institution if the original participant cannot attend.
Transfer requests must be made via email to info@isit.org.in with necessary details and supporting documents.
Transfers must be requested at least 14 days before the event; otherwise, they will not be accommodated.
Transferred registrations are not eligible for refunds.
7. General Considerations :
Any modifications or cancellations must be communicated in writing to info@isit.org.in.
Registration confirms acknowledgment and acceptance of these policies.
ISIT does not initiate automatic transactions; all payments are voluntarily completed by registrants.
Once registered, participants must submit a conference registration form within three days for confirmation.
Travel plans should only be finalized after receiving the official conference itinerary, which will be shared 15 days before the event.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Advancements in Computational Statistics
This track focuses on the latest methodologies and techniques in computational statistics, emphasizing their applications in real-world scenarios. Participants will explore innovative approaches to statistical inference, model selection, and data visualization.
02
Data Analytics in the Era of Big Data
This session will delve into the challenges and opportunities presented by big data in the field of data analytics. Researchers are invited to present novel algorithms and frameworks that enhance data processing and interpretation.
03
Applied Mathematics in Computational Science
This track highlights the role of applied mathematics in solving complex problems within computational science. Contributions will include mathematical modeling, numerical analysis, and the development of efficient algorithms.
04
Statistical Modeling Techniques
This session aims to showcase cutting-edge statistical modeling techniques that address various data-driven challenges. Participants will discuss both theoretical advancements and practical applications across diverse fields.
05
Simulation Methods in Data Science
This track will cover various simulation methods used in data science, including Monte Carlo simulations and agent-based modeling. Researchers are encouraged to share insights on their applications in predictive analytics and decision-making.
06
Machine Learning and Artificial Intelligence
This session will explore the intersection of machine learning and artificial intelligence within statistical computing. Topics will include algorithm development, model evaluation, and the ethical implications of AI in data-driven research.
07
Optimization Techniques in High-Performance Computing
This track focuses on optimization methods that leverage high-performance computing resources to solve large-scale problems. Contributions will discuss algorithmic efficiency, parallel computing, and real-time data processing.
08
Probability and Quantitative Methods
This session will examine the foundational role of probability theory and quantitative methods in statistical computing. Researchers are invited to present their work on probabilistic models and their applications in various domains.
09
Knowledge Discovery in Data Mining
This track will focus on knowledge discovery processes in data mining, emphasizing techniques for extracting valuable insights from large datasets. Participants will discuss innovative methods for pattern recognition and anomaly detection.
10
Research Applications of Statistical Computing
This session aims to bridge the gap between theoretical research and practical applications of statistical computing. Presentations will highlight case studies and collaborative projects that demonstrate the impact of statistical methods in various industries.
11
Emerging Trends in Data Science
This track will explore emerging trends and technologies in data science, including advancements in algorithms and tools. Participants will discuss the future directions of data science and its implications for research and industry.