1. Urban Planning: City planners integrate ideas from sociology, engineering, economics, and environmental science to design smarter cities that accommodate dynamic human behavior alongside infrastructural needs.

2. Ecosystem Management: Ecologists collaborate with mathematicians, computer scientists, and meteorologists to model ecosystems. This helps predict climate impacts, species interactions, and biodiversity patterns using principles from physics and complexity theory.

3. Economic Systems: Economists and physicists work together using models from nonlinear dynamics and network theory to understand financial markets, accounting for emergent behaviors and feedback loops within global economies.

4. Health and Epidemiology: Public health experts combine biology, statistics, and computer science to model the spread of diseases. Incorporating social behavior and network analysis leads to better strategies for epidemic management.

These examples demonstrate how crossing traditional disciplinary boundaries enhances our understanding of complex systems by capturing multifaceted dynamics and emergent behaviors.