ICAMMHDA · Registering as Listener

International Conference on Applied Multilevel Modeling and Hierarchical Data Analysis

28th Aug – 29th Aug 2026 Frankfurt, Germany Standard / Physical Participation
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All attendees are required to maintain a standard of professional and respectful behavior throughout the duration of the event. Any form of misconduct, including verbal abuse, disruption of sessions, or harassment, will result in immediate disqualification and exclusion from current and future SNRI activities.

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At physical conference venues, participants may be required to present a valid government-issued identification document (such as a passport or national ID) for verification purposes.

1.6 Adherence to Session Timings

Conference sessions will begin strictly as scheduled. Participants, especially presenters, are advised to arrive or log in early. Late arrivals may not be accommodated for their designated presentation slots.

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Photographs, recordings, and media captured during SNRI events may be utilized for institutional reporting, academic promotion, or marketing. Registration implies consent to the use of such content by SNRI across digital and print platforms.

2. Submission of Papers & Presentation Standards

2.1 Requirement for Original Work

Submitted manuscripts must represent original research that has not been previously published or concurrently submitted to other conferences or journals.

2.2 Accurate and Transparent Authorship

All contributing authors must be listed with their full names, affiliations, and email addresses. Misrepresentation or omission of contributors is a breach of academic ethics.

2.3 Institutional Awareness & Approval

Authors must ensure that their affiliated institutions or supervisors are informed of their intention to present or publish with SNRI.

2.4 Peer Review & Acceptance Criteria

Each submission will undergo a structured peer review process conducted by subject experts. Only those papers that meet academic standards and are accompanied by a completed registration will be included in the official proceedings.

2.5 Changes to Authorship

Any revisions to the list of authors, including additions or removals, must be submitted in writing before the registration deadline and must include formal consent from all listed authors.

2.6 Anti-Plagiarism Protocol

SNRI maintains a strict zero-tolerance policy toward plagiarism. Submissions that fail plagiarism checks, either before or after publication, will be immediately disqualified and removed from conference records. Repeat offenses may lead to blacklisting.

2.7 Policy on Abstract-Only Presentations

Authors may choose to present based on abstract submissions alone; however, such works are not eligible for post-conference journal publication or indexing.

2.8 Designated Corresponding Author

The submitting author will be recognized as the primary point of contact and shall be responsible for all future correspondence and administrative matters related to the submission.

3. Journal Publication Procedures

3.1 Independent Review Process

Acceptance to the conference does not imply or guarantee acceptance into any journal. Each journal operates independently and maintains its own editorial review standards.

3.2 Publication Charges for Indexed Journals

Authors who wish to publish in journals indexed by platforms such as Scopus, Web of Science, or similar, must be aware that additional publication fees may apply. These charges are payable by the author and not included in the event registration fee.

3.3 Requirement for Manuscript Extension

For journal eligibility, the submitted work must be significantly enhanced (by a minimum of 20%) compared to the version presented at the conference. Enhancements should include deeper analysis, updated data, and expanded references.

3.4 No Refund for Journal Rejection

If a paper is declined by a partner journal, the author will not be eligible for any refund of registration or submission fees.

4. Cancellation, Refund & Registration Transfer Guidelines

4.1 Cancellations by SNRI

In the unlikely event of an SNRI-organized event being canceled due to unforeseen circumstances, participants will be issued a full credit that may be used toward another SNRI event within the following 12 months.

4.1 Cancellations by SNRI

In the unlikely event of an SNRI-organized event being canceled due to unforeseen circumstances, participants will be issued a full credit that may be used toward another SNRI event within the following 12 months.

4.2 Cancellations by Participants

  • Requests made more than 60 days before the event: Full refund, minus an administrative fee.
  • Requests made 30 to 60 days before the event: 50% refund.
  • Requests made within 30 days of the event: No refund will be granted.

    • 4.3 Non-Refundable Virtual Registrations

    All registrations for virtual events are considered final and non-refundable, due to instant access to digital platforms and prior distribution of resources.

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    4.5 Travel & Accommodation Disclaimer

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    4.6 No Refund for Format Shifts

    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.

    4.7 Transfer of Registration

    Registrations may be transferred to another individual from the same institution provided a formal request is made via email to support@snrischolars.com at least 7 days prior to the event. Transferred registrations are not eligible for refunds.

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    5.4 Misuse of Letters

    Alteration or unauthorized use of the invitation letter will lead to immediate cancellation of participation and may be subject to legal action.

    5.5 Attendee Responsibilities

    Participants are fully responsible for managing their visa applications, associated documentation, and related costs.

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    6.1 Submission of Registration Forms

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What you'll hear about

Conference session tracks

Key research areas covered across the sessions.

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This track focuses on the latest methodologies in multilevel modeling, emphasizing innovations that enhance model accuracy and interpretability. Researchers are invited to present their findings on new algorithms and applications in various fields.

This session will explore Bayesian methods for analyzing hierarchical data, highlighting their advantages in dealing with complex data structures. Contributions that demonstrate practical applications and computational strategies are particularly encouraged.

This track aims to discuss the integration of predictive analytics within multilevel modeling frameworks. Participants will share insights on model development, validation, and real-world applications across different domains.

This session will delve into simulation methods that facilitate the estimation and validation of hierarchical models. Researchers are invited to present novel simulation strategies and their implications for statistical inference.

This track focuses on the challenges and methodologies associated with analyzing longitudinal data using multilevel modeling techniques. Contributions that address both theoretical advancements and practical applications are welcome.

This session will explore the role of random effects models in contemporary data science applications. Participants are encouraged to present case studies that illustrate the utility of these models in various research contexts.

This track emphasizes the computational aspects of hierarchical data analysis, including software development and algorithm optimization. Contributions that enhance the efficiency and accessibility of statistical computing tools are highly valued.

This session will investigate the intersection of machine learning and multilevel modeling, focusing on hybrid approaches that leverage the strengths of both fields. Researchers are invited to share innovative methodologies and empirical results.

This track will cover quantitative methods designed for forecasting within hierarchical data frameworks. Contributions that showcase the effectiveness of these methods in practical scenarios are encouraged.

This session will focus on inference techniques applicable to multilevel statistical models, including hypothesis testing and confidence interval estimation. Researchers are invited to present novel approaches and their implications for statistical practice.

This track aims to highlight diverse research applications of applied statistics, particularly in the context of multilevel and hierarchical data. Participants are encouraged to share case studies that demonstrate the impact of statistical analysis on real-world issues.