Making Sense of Chaos
A renowned complexity scientist promotes a revolution to make economic predictions more scientific, allowing us to build a better world
We live in an age of increasing complexity, where accelerating technology and global interconnection hold more promise - and more peril - than any other time in human history. The fossil fuels that have powered global wealth creation now threaten to destroy the world they helped build. Automation and digitization promise prosperity for some, unemployment for others. Financial crises fuel growing inequality, polarization and the retreat of democracy. At heart, all these problems are rooted in the economy, yet the guidance provided by economic models has often failed.
Many books have been written about Doyne Farmer and his work, but Making Sense of Chaos is the first in his own words. It presents a manifesto for how to do economics better. A tale of science and ideas, Farmer fuses his profound knowledge and expertise with stories from his life to explain how we can bring a scientific revolution to bear on the economic conundrums facing society.
Using big data and ever more powerful computers, we are now able for the first time to apply complex systems science to economic activity, building realistic models of the global economy. The resulting simulations and the emergent behavior we observe form the cornerstone of the science of complexity economics, allowing us to test ideas and make significantly better economic predictions - to better address the hard problems facing the world.
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Making Sense of Chaos
Making Sense of Chaos
A renowned complexity scientist promotes a revolution to make economic predictions more scientific, allowing us to build a better world
We live in an age of increasing complexity, where accelerating technology and global interconnection hold more promise - and more peril - than any other time in human history. The fossil fuels that have powered global wealth creation now threaten to destroy the world they helped build. Automation and digitization promise prosperity for some, unemployment for others. Financial crises fuel growing inequality, polarization and the retreat of democracy. At heart, all these problems are rooted in the economy, yet the guidance provided by economic models has often failed.
Many books have been written about Doyne Farmer and his work, but Making Sense of Chaos is the first in his own words. It presents a manifesto for how to do economics better. A tale of science and ideas, Farmer fuses his profound knowledge and expertise with stories from his life to explain how we can bring a scientific revolution to bear on the economic conundrums facing society.
Using big data and ever more powerful computers, we are now able for the first time to apply complex systems science to economic activity, building realistic models of the global economy. The resulting simulations and the emergent behavior we observe form the cornerstone of the science of complexity economics, allowing us to test ideas and make significantly better economic predictions - to better address the hard problems facing the world.
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Description
A renowned complexity scientist promotes a revolution to make economic predictions more scientific, allowing us to build a better world
We live in an age of increasing complexity, where accelerating technology and global interconnection hold more promise - and more peril - than any other time in human history. The fossil fuels that have powered global wealth creation now threaten to destroy the world they helped build. Automation and digitization promise prosperity for some, unemployment for others. Financial crises fuel growing inequality, polarization and the retreat of democracy. At heart, all these problems are rooted in the economy, yet the guidance provided by economic models has often failed.
Many books have been written about Doyne Farmer and his work, but Making Sense of Chaos is the first in his own words. It presents a manifesto for how to do economics better. A tale of science and ideas, Farmer fuses his profound knowledge and expertise with stories from his life to explain how we can bring a scientific revolution to bear on the economic conundrums facing society.
Using big data and ever more powerful computers, we are now able for the first time to apply complex systems science to economic activity, building realistic models of the global economy. The resulting simulations and the emergent behavior we observe form the cornerstone of the science of complexity economics, allowing us to test ideas and make significantly better economic predictions - to better address the hard problems facing the world.
