Welcome to the dedicated session on Education, Teaching, Learning & Assessment at the 5th International Conference on Multidisciplinary and Current Educational Research (ICMCER-2024) in Bangkok, Thailand. This session is a focal point for educators, researchers, and professionals to share insights, exchange ideas, and explore innovations that contribute to the dynamic landscape of education.
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.
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.
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