AI-Driven Environmental Intelligence & Predictive Analytics
The fusion of data science with Earth systems research is transforming environmental decision-making. AI-driven environmental intelligence & predictive analytics is at the forefront of this shift, using artificial intelligence to mine massive environmental datasets for actionable insights. Applications range from climate forecasting and habitat modeling to pollution prediction and disaster alert systems. Neural networks and deep learning models now outperform traditional simulations in identifying non-linear patterns, anomalies, and future risks. These tools are also being applied to optimize resource use, improve climate models, and design early warning systems for extreme weather events. The relevance of AI-Driven Environmental Intelligence & Predictive Analytics extends beyond research, informing public policy, industrial innovation, and community resilience planning.
Dai Yeun Jeong
Asia Climate Change Education Center and Jeju National University, Korea, Republic of
Carme Ferre Pavia
Autonomous University of Barcelona, Spain
Heather M Coleman
Ulster University, Ireland
Angela Vande
Vamde consulting, Canada
Bence Hernadi
University of Pannonia, Hungary
Tamaz Patarkalashvili
Technical University, Georgia
Title : Climate change and natural disasters: Predicting financial losses, managing volatility, and building financial resilience
Giuseppe Orlando, University of Bari Aldo Moro, Italy
Title : Personalized, community- and population-related health in a changing and sustainable environment through the view of Personalized & Precision Healthcare (PPH): Its impact and role in preventing disease to maximize global health
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Beyond 3R: The 4P proposal for strategic narratives on climate change
Carme Ferre Pavia, Autonomous University of Barcelona, Spain
Title : Turning waste into water treatment media: Waste-derived aggregates in nature-based solutions for treating diverse water matrices
Antonio Albuquerque, University of Beira Interior, Portugal
Title : RemediMaker treatment for hydrocarbon contaminated soil
Angela Vande, Vamde consulting, Canada
Title : Naturescaping™ as a landscape resilience framework: Integrating agroforestry, biodiversity and community stewardship for climate adaptation
Satya Prakash Mehra, Vasudha Ecosystems Global LLP, India