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International Conference on Applied Multilevel Modeling and Hierarchical Data Analysis (ICAMMHDA-27)

19th - 20th May 2027 Amman, Jordan
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Join researchers, academicians, professionals, and industry experts to exchange ideas, strengthen academic collaboration, and explore research-driven practices across diverse disciplines.

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Professional Academic Experience

Participate in structured academic sessions, expert discussions, and professional knowledge-sharing opportunities.

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Benefits of Registering as Listener
Access to Conference Sessions

Attend keynote, plenary and technical sessions across relevant academic tracks.

Academic Networking

Connect with researchers, professionals, academicians and industry specialists.

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Receive an official participation certificate after successful attendance.

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Request official invitation letter support after confirmed registration.

Conference Materials

Access available session resources, proceedings and digital materials.

Professional Insights

Gain practical and research-oriented insights from expert discussions.

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4 Terms & Condition
Conference Programme and Participation Policy:

The Organiser may integrate aligned research topics, academic fields, and relevant SDGs into interdisciplinary or multidisciplinary sessions to facilitate meaningful discussion, cross-sector perspectives, and future research cooperation.

Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to [email protected]. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to [email protected]

I agree and accept the Terms and Conditions of the website www.after.org.in

Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 3 SDG 4 SDG 9 SDG 11 SDG 16 SDG 17
01 Advancements in Multilevel Modeling Techniques
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.
02 Bayesian Approaches in Hierarchical Data Analysis
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.
03 Predictive Analytics in Multilevel Contexts
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.
04 Simulation Techniques for Hierarchical Models
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.
05 Longitudinal Data Analysis: Methods and Applications
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.
06 Random Effects Models in Data Science
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.
07 Statistical Computing for Hierarchical Data
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.
08 Machine Learning Techniques in Multilevel Modeling
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.
09 Quantitative Methods for Forecasting in Hierarchical Structures
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.
10 Inference Techniques in Multilevel Statistical Models
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.
11 Research Applications of Applied Statistics
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.