Related Experiment Video
Updated: Jul 14, 2026
06:10
Using Generative Art to Convey Past and Future Climate Transitions
Published on: March 31, 2023
Special collection on responsible forecasting in climatology and environmental sciences
Suzana Blesić1, Valerie Livina2, Josef Ludescher3
1Faculty of Physics, University of Belgrade, Belgrade, Serbia.
Chaos (Woodbury, N.Y.)
|July 13, 2026
Summary
This collection explores responsible verified forecasts using complex systems science. Approaches like scaling and network analysis are applied to environmental, medical, and climate phenomena.
Area of Science:
- Geophysical sciences, complex systems science, data science, and environmental science.
Background:
- The European Geophysical Union's PICO session highlighted the need for verified forecasts.
- Traditional forecasting methods face challenges with complex phenomena.
Purpose of the Study:
- To present papers focusing on novel approaches for responsible verified forecasts.
- To showcase applications of complex systems science concepts in forecasting.
Main Methods:
- Utilizing concepts from complex systems sciences, including scaling and universality.
- Employing complex network analysis and physics-informed machine learning.
- Developing and verifying forecasts for diverse phenomena.
Main Results:
- A collection of papers demonstrating the application of these advanced methods.
- Forecasts targeting environmental, medical, and climate-related phenomena.
- Exploration of phenomena across various spatial and temporal scales.
Conclusions:
- Complex systems science offers promising avenues for improving forecast accuracy and reliability.
- Interdisciplinary approaches are crucial for addressing complex scientific challenges.
- Verified forecasts are essential for understanding and mitigating diverse phenomena.
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