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Updated: Jan 28, 2026

05:37
An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
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A reframed landscape of causal emergence
Olive R Cawiding1,2, Yun Min Song1,2, Jae Kyoung Kim1,2,3
1Biomedical Mathematics Group, Institute for Basic Science, Daejeon 34126, Republic of Korea.
Patterns (New York, N.Y.)
|January 26, 2026
Summary
This study introduces Causal Emergence 2.0, a new framework for understanding complex systems. It shows that the best causal description of a system depends on how influence is distributed across its various scales.
Area of Science:
- Complex Systems Science
- Causal Inference
- Network Theory
Background:
- Complex systems analysis involves microscale (component) and macroscale (collective) perspectives.
- Determining the most meaningful causal understanding between these scales remains a challenge.
- Existing frameworks may not fully capture scale-dependent causal influence.
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