Climate Change
Modeling and Prediction
Objective:
The objective of this session is to explore the advancements in climate change modeling and prediction through the integration of AI techniques. By bringing together experts in the fields of climate science and artificial intelligence, the session aims to foster a deeper understanding of how AI can enhance the accuracy, resolution, and predictive capabilities of climate models. Participants will discuss innovative approaches to leveraging machine learning for predictive modeling and uncertainty quantification in climate projections.
Theme:
The theme of this session revolves around harnessing the power of AI to address the complexities of climate change. It emphasizes the integration of cutting-edge technologies to improve the precision of climate models and enhance our ability to predict and understand the impacts of climate change. The session will explore how AI can contribute to more effective decision-making and policy formulation in the face of global environmental challenges.
Climate Change Modeling and Prediction is
contribution to
The
Sustainable
Development Goals:
Goal 13: Climate Action
Goal 15: Life on Land
Who Can Join
Research Scholars
Technology Experts
Students & Alumini’s
Editorial Board Members of Journals
Government Officials
Industry Professionals
Tracks
Topics of Interest for Submission include, but are not limited to:
1 Integrating AI techniques for high-resolution climate models.
2 Predictive modeling of climate change impacts using machine learning.
3 Uncertainty quantification in climate projections with AI.
4 AI-Enhanced Climate Model Development
5 Data Fusion and Integration for Climate Modeling
6 Dynamic Ensemble Climate Modeling
7 Explainable AI in Climate Science
8 Climate Impact Assessment
9 Optimizing Climate Models for Regional Predictions
10 Carbon Sequestration Modeling
11 Climate Resilience Assessment and Planning
12 Urban Climate Modeling
13 Ethical Considerations in AI-Driven Climate Modeling
Session Speaker
Mr. Lalit Gautam
Sensegrass
France
Outcomes:
- Participants will gain insights into the current state-of-the-art AI techniques employed in high-resolution climate models, understanding how these technologies contribute to improved simulations and predictions.
Insights into AI-Enhanced Climate Models:
- The session will feature presentations and case studies showcasing successful applications of machine learning in predictive modeling of climate change impacts. Attendees will learn about real-world implementations and their implications.
Predictive Modeling Showcase:
- Through discussions and presentations, participants will delve into the challenges of uncertainty quantification in climate projections and explore how AI methodologies can provide more robust and reliable predictions.
Understanding Uncertainty in Climate Projections:
- The session will provide a platform for scientists, researchers, and practitioners to explore potential collaborations between the climate science and AI communities. Networking opportunities will be facilitated to encourage future interdisciplinary projects.
Collaboration Opportunities:
- Discussions will touch upon the policy implications of improved climate models, addressing how AI-enhanced predictions can inform and influence climate change mitigation and adaptation strategies at local, national, and global levels.
Policy Implications:
Scope & Benefits of Attending Beyond Intelligence 2024 conference
Discover the transformative potential of Beyond Intelligence 2024 with a focus on sustainable innovation and technology-driven solutions to address pressing environmental challenges. Learn,
Benefits of Attending Beyond Intelligence 2024
- Resource Efficiency and Infrastructure Resilience: Learn about strategies to optimise resource use and enhance the resilience of critical infrastructure.
- Sustainable Energy and Environmental Conservation: Dive into discussions on renewable energy sources, biodiversity preservation, and effective environmental conservation practices.
- Innovation for Sustainable Development: Engage in sessions promoting innovation, environmental awareness, and the adoption of eco-friendly practices.
- Responsible Business Practices: Gain insights into fostering sustainability through ethical financial strategies, transparent corporate operations, and responsible business practices.
- Inclusive Decision-Making for Sustainability: Understand the role of human behaviour, societal values, and cultural perspectives in driving inclusive decision-making processes for sustainable development.
Author Guidelines
Guidelines for Abstract Submission:
- Language: Abstracts must be written in English.
- Length: Limited to one paragraph with 200-250 words.
- Format: Submit in MS Word (.doc or .docx) document format.
- Content: Abstracts should provide an informative summary of the original work. Include a brief biography with your abstract, following the example provided in the template.
- Formatting: Center-align the Title, Author's Names, and Affiliations. Underline the presenting author's name.
- Submission: Please submit your abstract through the designated submission portal.
- Acknowledgment: Upon abstract submission, you will receive an acknowledgment email within three working days.
Evaluation Process
Guidelines for Full Paper Submission
If your abstract has been accepted and the registration fee for Beyond Intelligence 2024 has been paid, you are invited to submit the full paper. Please adhere to the following guidelines for the submission:
- Total number of pages: 6-8 in double-column format
- Language: English (checked for grammar and language errors)
- Tables, figures, and images should be properly named and of high quality.
- Keywords should be written in lowercase letters (except for names/scientific names) and separated by commas.
- Affiliation names, including the country, must be provided.
- Each paper should be structured into the following sections:
- Background, Motivation, and Objective
- Statement of Contribution/Methods
- Results, Discussions, and Conclusions
Once your full paper is prepared according to the above instructions, please proceed to submit it through the provided link. Submit your Full paper Here.
Session Lists
