‘Systems thinking’,1 2 complexity theory3 and the ‘complex systems approach’4–7 are gaining momentum among leading sports injury researchers. One reason for this is a growing recognition that ...

Simulation modelling has emerged as a vital tool for understanding and managing the inherent complexity of numerous systems, from healthcare and manufacturing to logistics and business operations ...

Scientists have made a significant advancement with quantum technologies that could transform complex systems modelling with an accurate and effective approach that requires significantly re-duced ...

In fields ranging from immunology and ecology to economics and thermodynamics, multi-scale complex systems are ubiquitous. They are also notoriously difficult to model. Conventional approaches ...

The COVID-19 pandemic has highlighted the potential of complex systems modelling for policymaking but it is crucial to also understand its limitations.

Topic: Uncertainty Quantification for Scientific Machine Learning Modeling and Simulations Uncertainty quantification (UQ) in scientific computing research is increasingly important for keeping pace ...

MIT researchers use large language models to flag problems in complex systems The approach can detect anomalies in data recorded over time, without the need for any training. Date: August 13, 2024 ...

Companies like Atkins, a member of the SNC-Lavalin Group, [DMD1] are using Complex Systems Modeling in their system: the City Simulator to help policymakers plan for multiple disasters.

Such highly complex, systems of systems are prime candidates for MBSE. “The model captured all of the diagrams that you would expect on an electrical schematic, but with all the systems’ data, ...

Empowering the design, modeling, and verification of complex 6G systems.

This year, for the first time, the Nobel Prize in Physics was explicitly awarded for research in complex systems—including climate change.