HYBRID EVENT
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Braga, Portugal
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ICPMPES · Registering as Listener
International Conference on Predictive Modeling in Climate and Environmental Studies
13–14 Jan 2027
Braga, Portugal
Standard / Physical
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$
135
virtual · $175 in person
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$175
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$135
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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
Advancements in Predictive Modeling Techniques
This track focuses on the latest methodologies in predictive modeling, emphasizing their applications in climate and environmental studies. Participants will explore innovative approaches that enhance forecasting accuracy and reliability.
02
Data Science Applications in Environmental Monitoring
This session highlights the role of data science in monitoring environmental changes and assessing climate impacts. Presentations will cover case studies that demonstrate the effectiveness of data-driven approaches in real-world scenarios.
03
Machine Learning for Climate Change Mitigation
This track examines the application of machine learning algorithms in developing strategies for climate change mitigation. Discussions will include model development, validation, and the integration of AI in environmental decision-making.
04
Big Data Analytics in Climate Research
This session addresses the challenges and opportunities presented by big data in climate research. Participants will share insights on data management, processing techniques, and the extraction of meaningful patterns from large datasets.
05
Statistical Methods for Environmental Risk Assessment
This track focuses on the use of statistical methods to assess and quantify environmental risks associated with climate change. Presentations will include innovative statistical models and their applications in risk analysis.
06
Optimization Techniques for Climate Modeling
This session explores optimization techniques that enhance the performance of climate models. Participants will discuss various optimization strategies and their implications for improving predictive accuracy.
07
Simulation Approaches in Environmental Science
This track delves into simulation methodologies used in environmental science to predict outcomes under various scenarios. Presentations will cover both theoretical frameworks and practical applications of simulation techniques.
08
Quantitative Methods in Climate Data Analysis
This session emphasizes quantitative methods utilized in analyzing climate data. Participants will explore statistical tools and techniques that facilitate the interpretation of complex climate datasets.
09
Interdisciplinary Approaches to Climate Modeling
This track encourages interdisciplinary collaboration in climate modeling, integrating insights from mathematics, statistics, and environmental science. Discussions will focus on how diverse perspectives can enhance model development.
10
Forecasting Techniques for Environmental Change
This session focuses on forecasting techniques that predict environmental changes due to climate variability. Participants will present innovative models and discuss their implications for policy and planning.
11
Data Mining for Climate Insights
This track explores data mining techniques that uncover hidden patterns and insights from climate-related data. Presentations will highlight successful applications of data mining in enhancing our understanding of climate dynamics.