International Conference on Statistics & Data Science

Date: 18th & 19th March 2026 | Time: 8.00 am – 12:00 pm (IST) | Location: Online

Sample Abstract

Phone: 8977760443 Email: support@onegrasp.com

Overview

The International Conference on Statistics & Data Science offers a global platform for statisticians, data scientists, and research professionals to present innovations shaping data-driven discovery and decision making. The event focuses on merging statistical theory with computational techniques to address real-world challenges across industries, governments, and academia. With an emphasis on predictive modeling, artificial intelligence, and big data analytics, the conference advances knowledge sharing and cross-disciplinary collaboration for developing futuristic data ecosystems.

Structure and Sessions (Who Does What)

Inaugural Session: Welcome by the Conference Chair and keynote on “From Data to Decisions: The Evolving Role of Statistics and Data Science.”
Technical Paper Sessions: Presentations covering statistical theory, machine learning models, big data analytics, and computational statistics.
Panel Discussion: Senior researchers and industry experts discuss emerging trends, ethics, and the future of data science-driven innovation.
Student & Research Forum: A session for students and young professionals to present research papers, case studies, and analytical tools.
Closing Session: Recognition of contributors, certificate and memento distribution, and closing remarks reinforcing collaboration in global data science research.

Participate and Contribute (Who Benefits)

Academicians and researchers in statistics, computer science, and applied analytics.
Data analysts, scientists, and professionals from business, health, engineering, and social sciences.
Students, educators, and innovators interested in data modeling, AI integration, and computational sciences.
Participants gain professional recognition through certificate and publication, international exposure for their research, and academic-industry collaboration opportunities in data science.

Benefits for Attendees

Certificate of participation (based on feedback submission)
Memento for presenters and moderators
Publication of accepted abstracts in indexed conference proceedings (Scopus/WoS/Elsevier/Sci as applicable)

Abstract Topics / Call for Papers (CFP) Tracks

Statistical Methods and Theory
Bayesian Inference and Computational Statistics
Machine Learning and Artificial Intelligence Algorithms
Data Mining, Big Data Analytics, and Predictive Modeling
Applied Probability and Stochastic Processes
Experimental Design and Sampling Techniques
Econometrics and Statistical Modeling in Finance
Statistical Computing and Software Development
Time Series, Forecasting, and Simulation
Bioinformatics and Health Data Analytics
Data Visualization and Communication
Ethical, Social, and Policy Dimensions of Data Science

Detailed Program Grid

Time (IST)	Day 1	Day 2
08:00 – 08:15	Opening Ceremony & Welcome	Recap and Opening Remarks
08:15 – 09:00	Keynote: The Future of Statistics in Data-Driven Societies	Keynote: Machine Learning and Next-Generation Data Insights
09:00 – 10:15	Technical Session I – Statistical Modeling & Inference	Technical Session IV – Computational Data Science & Applications
10:15 – 10:30	Break	Break
10:30 – 11:15	Technical Session II – Probability, Simulation & Experimental Design	Technical Session V – Applied Analytics & Interdisciplinary Data Methods
11:15 – 11:45	Panel Discussion: Advancing Data Ethics & Responsible AI	Student & Research Forum: Emerging Trends in Statistics
11:45 – 12:00	Day Summary & Announcements	Awards & Closing Ceremony

Submit Abstract & Registration

Conference Dates	Conference Title	Timing (IST)	Abstract Submission Deadline	Registration Deadline
18th, 19th March 2026	International Conference on Statistics & Data Science	8:00 AM – 12:00 PM	8th March 2026	11th March 2026

Abstract Guidelines

Word Count: 300–350 words (including title, author(s), affiliation, email, and 5 keywords)
Font: Times New Roman, 12 pt, 1.5 spacing
File Format: .doc or .docx only
All submissions will undergo double-blind peer review

Conclusion

This international conference embodies the convergence of statistics and data science for evidence-based innovation, precision modeling, and sustainable problem-solving. Participants will share methodologies, learn new analytical paradigms, and collaborate in advancing global knowledge networks in the age of data intelligence.

Registration

Type of participation

Early Bird Registration

February 11, 2026

Mid Registration Deadline

February 25, 2026

Late Registration Deadline

March 11, 2026

No. of Participants ($159 each under Speaker / Poster (Virtual)) :

No of Accompanying Persons ($ 200 each )

Registration Summary

Registration Price (Per Person - Speaker / Poster (Virtual)):

$159

Participants:

Total Registration Price:

$159

Total Price:

$159

By clicking "Proceed to Pay", you agree to the privacy policy, terms & conditions and cancellation policy.

Note: For more information on registration queries, please contact: support@onegrasp.com

Registration includes:

For In-person attendees

Entry to all conference sessions, poster presentations, and the exhibition area
Conference kit comprising a name tag, program booklet, and abstract book
Two coffee breaks and lunch are provided for each day of the conference
Accreditation Certificate issued by the Organizing Committee

For Virtual Attendees

This category enables participants to present virtually at the conference from the convenience of their home or workplace without the need for in-person attendance. It includes:

Access to all presentations
An E-abstract book and program
An E-certificate for presentation and participation
A CPD (Continuous Professional Development) Certificate with Credits

Terms and Conditions

By enrolling in the conference, you hereby express your acceptance of the terms and conditions stated herewith.

The organization retains the authority to modify the program, date, and/or location at its discretion, without prior notification.

The organization cannot be held accountable for any loss or damage incurred due to substitutions, adjustments, delays, or cancellations of an event caused by unforeseen factors beyond its control. Such factors encompass, but are not limited to, force majeure, natural disasters, acts of sabotage, accidents, labor disputes, acts of terrorism, strikes, or hostilities.

The organization reserves the right and possesses the exclusive discretion to cancel any conference at any time under circumstances that are unavoidable and unanticipated. The organizer will not assume any additional liability towards the participant.

Registrations will remain valid for rescheduled events or future editions if the conference must be postponed due to circumstances beyond the organizer's control. Refund policies do not apply under these conditions.

In the instance of cancellation, the organization will make reasonable and appropriate alternative arrangements, which may include posting the cancellation notice on the relevant event website to inform those who have secured bookings or purchased tickets for the event.

Attendees are responsible for reviewing this information before the event. We strongly recommend regularly checking the conference website for updates.

The organizers shall not be held responsible for personal injuries or for the loss or damage to personal belongings of attendees, either during the conference.

Important COVID-19 Update for Participants

In case of any natural calamities, those who are unable to attend in person due to travel restrictions or health concerns, enable your virtual participation. Details on accessing the virtual platform will be provided 2 months prior to the conference. And on your request the registration will transfer to future editions.

We will provide regular updates on the conference website regarding any changes to the event format, health and safety measures, and other relevant information. Please check the website periodically for the latest updates.