+91 9344546233 [email protected] Physical / Digital Conference
ICRFSS · Registering as Listener

International Conference on Random Fields and Spatial Statistics

21–22 Sep 2026 Toulouse, France Standard / Physical Participation
Listener registration
$155
virtual · $215 in person

Official invitation letter

Issued automatically after registration — for visa applications and institutional sponsorship.

Certificate & digital materials

Certificate of participation plus e-proceedings, slides and resource materials to keep.

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Connect with researchers across 30+ countries advancing Probability Theory,Statistics.

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1. Paper Submission & Publication :

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  • Researchfora is not liable for any authorship disputes. If a complaint regarding authorship or originality is validated, the paper will be withdrawn immediately.
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2. Conference Attendance :

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  • The organizing committee reserves the right to change the venue, dates, or format (virtual/hybrid/in-person) at any time. Notifications will be sent via registered email.
  • Researchfora is not responsible for any travel or accommodation costs incurred due to changes in format or schedule.
  • No refunds will be granted for participants who choose not to attend the conference after registration.
  • If the primary author cannot attend, a co-author may attend in their place. However, no refunds will be issued for non-attendance.

3. Cancellation & Refund Policy :

  • 3.1 Cancellation is only permitted before the issuance of an official invitation letter. Once issued, no refund is available.
  • Full refund: cancellations made at least 70 days before the conference, with a cancellation form submitted 60 days prior.
  • Partial refund: cancellations 60–30 days prior may incur administrative/documentation fees.
  • No refund: cancellations within 30 days of the event, though a credit voucher valid for one year may be issued for future participation.
  • If a participant is unable to attend the conference due to personal reasons, the registration fee is non-refundable. However, the paid amount will be credited toward attendance at any of our international conferences within one year from the original date of registration.
  • As the conference will be held in a 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 registrations are non-refundable; participants may receive credit toward a future Researchfora event.

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  • If the registrant fails to respond to communications from Researchfora or its representatives for a period of more than 15 days after registration, the registration will be considered invalid, and refunds will not apply.
  • If the registration form is not submitted within 7 days from the date of registration, the registration will be considered invalid, and refunds will not apply.

5. Travel and Accommodation :

  • Participants are fully responsible for travel, transport, and accommodation arrangements.
  • Researchfora will not compensate for losses due to changes in event formats or schedules.
  • Registration fees do not cover travel or accommodation.

6. Transfer of Registration :

  • A paid registration may be transferred to another individual from the same institution, pending approval. Requests must be submitted via email with authorization and updated registration details.
  • Transfers must be completed at least 14 days before the event start date.
  • Transferred registrations are non-refundable.
  • Transfers to another Researchfora event are allowed if within the valid registration period.

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  • Legal action may be taken against individuals who falsify or unlawfully use the invitation letter.
  • By accepting the invitation letter, the attendee agrees to comply with international travel laws, conference policies, and ethical participation standards.

8. Important Notes :

  • All changes, cancellations, and transfer requests must be submitted in writing to: [email protected]
  • Participants are deemed to have read and agreed to these terms upon completing registration.
  • All transactions are carried out voluntarily after acceptance of these terms.
  • Completed registration forms must be submitted within 3 days of payment.
  • Official conference programs and schedules will be emailed at least 15 days prior to the event—do not make travel bookings before receiving this confirmation.
  • In hybrid-format events, any registrations received after the deadline will be processed as virtual-only. All registrations include access to one additional Researchfora conference, depending on your registration category.

9. Conference Programme and Participation Policy :

  • To enhance the academic value of the event, the Organiser may combine research contributions from multiple disciplines and relevant SDG areas in interdisciplinary or multidisciplinary sessions that foster learning, connections, and cooperation.

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What you'll hear about

Session tracks covered across the event.

View all 11 tracks →
This track focuses on the latest theoretical developments in random field theory, emphasizing its applications in various scientific domains. Researchers are invited to present novel methodologies and frameworks that enhance our understanding of spatial phenomena.
This session will explore innovative statistical methods for analyzing spatial data, including geostatistical approaches and spatial regression models. Contributions that highlight practical applications and case studies in environmental statistics are particularly welcome.
This track aims to discuss the role of probability models in understanding environmental processes and phenomena. Papers that address climate modeling, risk analysis, and uncertainty quantification are encouraged.
This session will delve into advanced statistical modeling techniques specifically tailored for geostatistical applications. Participants are invited to share insights on spatial interpolation, kriging methods, and their implications in real-world scenarios.
This track will cover various simulation techniques used in spatial statistics, including Monte Carlo methods and bootstrap approaches. Presentations that demonstrate the effectiveness of these methods in empirical research are highly encouraged.
This session focuses on the integration of machine learning techniques with spatial data analysis. Contributions that showcase predictive modeling, feature selection, and data-driven insights in spatial contexts are sought.
This track emphasizes quantitative methodologies for assessing and managing risks associated with spatially distributed phenomena. Papers that apply statistical techniques to environmental risk assessment and decision-making are particularly relevant.
This session will explore the application of artificial intelligence techniques in climate modeling and environmental statistics. Researchers are invited to present innovative approaches that enhance predictive accuracy and model interpretability.
This track focuses on computational techniques and algorithms that facilitate the analysis of large spatial datasets. Contributions that address challenges in computational efficiency and scalability are encouraged.
This session will highlight statistical methodologies employed in the monitoring and assessment of environmental variables. Papers that discuss the integration of spatial statistics with monitoring frameworks are welcome.
This track aims to showcase cutting-edge predictive analytics techniques applied to spatial data. Researchers are invited to present their findings on the effectiveness of these methods in various applied contexts.
What's Included

Benefits of Registering as Listener

Access to Conference Sessions

Attend keynote, plenary and parallel sessions.

Networking Opportunities

Connect with researchers, educators and scholars.

Certificate of Participation

Receive a digital certificate after participation.

Invitation Letter Support

Official letter support after confirmed registration.

Conference Kit / Materials

E-proceedings and conference resource materials.

Access to Keynote Sessions

Learn from leading experts across event themes.