Complex Insight - Understanding our world
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Latest news on complex systems in life sciences, engineering, education and government
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Agent-based Simulations of a Logistic System

Two simulations are executed with two different sets of parameters. It highlights the movement of goods over the Seine axis territory and also, how distinct ...
ComplexInsight's insight:

Agent based simulastion of logistics is becoming increasingly commmon - nice example.

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Report calls on NHS to consistently use simulation software ahead of big decisions

Report calls on NHS to consistently use simulation software ahead of big decisions | Complex Insight  - Understanding our world | Scoop.it
The NHS could be run more effectively if senior decision makers used simulation software to test the outcome of different approaches before rolling them out, according to a report out today.

Via Eugene Ch'ng
ComplexInsight's insight:

As someone who believes most many of societies bigger decisions would benefit from better simulations - the report makes for an interesting read. Simulation is going to grow in importance in many areas - as data analytics enable us to consider impact landscapes. Using large scale data analysis to drive simulations we can begin to use simulation as a means of possibility search (something engineering routinely does now) on a broader canvas.

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Machined Learnings: Stranger in a Strange Land

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Good article on the differences between big data processing and HPC simulations. Worth reading to see where the two communities focus, worry about and can learn from one another.

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Escaping the poverty trap: modeling the interplay between economic growth and the ecology of infectious disease

The dynamics of economies and infectious disease are inexorably linked: economic well-being influences health (sanitation, nutrition, treatment capacity, etc.) and health influences economic well-being (labor productivity lost to sickness and disease). Often societies are locked into ``poverty traps'' of poor health and poor economy. Here, using a simplified coupled disease-economic model with endogenous capital growth we demonstrate the formation of poverty traps, as well as ways to escape them. We suggest two possible mechanisms of escape both motivated by empirical data: one, through an influx of capital (development aid), and another through changing the percentage of GDP spent on healthcare. We find that a large influx of capital is successful in escaping the poverty trap, but increasing health spending alone is not. Our results demonstrate that escape from a poverty trap may be possible, and carry important policy implications in the world-wide distribution of aid and within-country healthcare spending.

 

Escaping the poverty trap: modeling the interplay between economic growth and the ecology of infectious disease
Georg M. Goerg, Oscar Patterson-Lomba, Laurent Hébert-Dufresne, Benjamin M. Althouse

http://arxiv.org/abs/1311.4079


Via Complexity Digest, Eugene Ch'ng
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