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
Jeju National University, Korea, Republic of
Carme Ferre Pavia
Universitat Autònoma de Barcelona, Spain
Sanjeev Gajjela
Tomato Sustainables LTD, United Kingdom
Oleksandr Novoseltsev
General Energy Institute of the National Academy of Sciences of Ukraine, Ukraine
Milagros Becerra Zambrano
Clark University, United States
Pranshu Tyagi
University of Maryland, United States
Title : The cost and severity of extreme natural disasters: What they mean for society and insurance
Giuseppe Orlando, Universita degli Studi di Bari “Aldo Moro”, Italy
Title : The business logic of service-oriented transformation of urban energy systems
Oleksandr Novoseltsev, General Energy Institute of the National Academy of Sciences of Ukraine, Ukraine
Title : Advancing sustainable aviation fuels: Integrated pathways, analytical validation, and scalable commercialisation
Sanjeev Gajjela, Tomato Sustainables LTD, United Kingdom
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model and a Strategic case to secure the human healthcare and wellness via Re-shaping ecosystems and stabilizing the climate
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Title : Young communicating climate change on social media: Facts and proposals
Carme Ferre Pavia, Universitat Autònoma de Barcelona, Spain
Title : Climate change and social vulnerability: A case study of the Mexico-Lerma-Cutzamala region
Milagros Becerra Zambrano, Clark University, United States