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ICPARM · Registering as Listener
International Conference on Predictive Analytics for Risk Management
11–12 Nov 2026
Washington DC, USA
Standard / Physical
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$
135
virtual · $195 in person
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Connect with researchers across 30+ countries
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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If any concerns regarding authorship arise and are validated, the paper will be withdrawn without reconsideration.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
[email protected]
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
[email protected]
.
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.
8. Conference Programme and Participation Policy :
Presentations from different but relevant academic areas may be combined by the Organiser within an interdisciplinary or multidisciplinary programme to encourage cross-disciplinary understanding, interaction, and future research partnerships.
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What you'll hear about
Session tracks covered across the event.
View all 11 tracks →
01
Innovations in Predictive Analytics for Financial Risk
This track explores cutting-edge methodologies in predictive analytics specifically tailored for financial risk management. Papers may address novel machine learning techniques and their applications in assessing credit and operational risks.
02
Big Data and Its Impact on Risk Assessment
This session focuses on the integration of big data analytics in the risk assessment process across various industries. Contributions should highlight case studies or frameworks that demonstrate the efficacy of big data in enhancing risk evaluation.
03
Machine Learning Applications in Fraud Detection
This track invites research on the application of machine learning algorithms in detecting and preventing fraud in business operations. Submissions should provide insights into algorithmic advancements and their practical implications.
04
Statistical Modeling for Decision Support Systems
This session emphasizes the role of statistical modeling in developing robust decision support systems for risk management. Papers should discuss innovative modeling techniques and their effectiveness in real-world scenarios.
05
Forecasting Techniques in Business Intelligence
This track examines advanced forecasting techniques that enhance business intelligence capabilities. Contributions should focus on the intersection of predictive analytics and strategic decision-making.
06
Quantitative Analytics in Compliance and Governance
This session addresses the application of quantitative analytics in ensuring compliance and governance within organizations. Papers should explore methodologies that facilitate adherence to regulatory standards through data-driven insights.
07
Scenario Analysis for Risk Mitigation Strategies
This track focuses on the development and application of scenario analysis techniques in formulating effective risk mitigation strategies. Submissions should provide empirical evidence of scenario planning in various business contexts.
08
AI-Driven Approaches to Operational Risk Management
This session highlights the transformative role of artificial intelligence in managing operational risks. Contributions should explore AI methodologies that enhance risk identification and mitigation processes.
09
Predictive Modeling for Credit Risk Assessment
This track invites research on predictive modeling techniques specifically aimed at credit risk assessment. Papers should detail innovative models that improve the accuracy of credit risk predictions.
10
Analytics Platforms for Enhanced Risk Management
This session explores the development and utilization of analytics platforms that facilitate comprehensive risk management. Contributions should discuss platform capabilities, integration challenges, and user experiences.
11
Emerging Trends in Risk Analytics
This track examines emerging trends and technologies in the field of risk analytics. Submissions should provide forward-looking insights into how these trends may shape the future of risk management practices.