'Doyne Farmer is the world's leading thinker on technological change. For decades he has focused on the question of how we can make sense of the data of today to see where the world is going tomorrow. This wonderful book applies these insights to economics, addressing the big global issues of environmental sustainability, and the well-being and prosperity of people around the world' Max Roser, Founder of Our World in Data

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. As well as financial crises, issues around climate change, automation, growing inequality and polarization are all rooted in the economy, yet standard economic predictions fail us.

Many books have been written about Doyne Farmer and his pioneering work in chaos and complexity theory. Making Sense of Chaos is the first in his own words, presenting a manifesto for doing economics better. In a tale of science and ideas, Farmer fuses his profound knowledge with stories from his life to explain how to harness a scientific revolution to address the economic conundrums facing society.

Using big data and ever more powerful computers, we can for the first time apply complex systems science to economic activity, building realistic models of the global economy. The resulting simulations and the emergent behaviour we observe form the cornerstone of complexity economics. This new science, Farmer shows, will allow us to test ideas and make significantly better economic predictions - and, ultimately, create a better world.

Autorentext

J. Doyne Farmer is an American complex systems scientist and entrepreneur who was a pioneer in many of the fields that define the scientific agenda of our times: dynamical systems, chaos, complex systems, artificial life, wearable computing, time series analysis, theoretical biology, and the theory of prediction. Currently he is Director of the Complexity Economics programme at the Institute for New Economic Thinking at the Oxford Martin School, Baillie Gifford Professor of Complex Systems Science in the school of Geography and the Environment at the University of Oxford, Senior Associate Research Fellow at Christ Church College, Chief Scientist at Macrocosm, and an External Professor at the Santa Fe Institute.

Previously, he was an Oppenheimer Fellow and the founder of the Complex Systems Group at Los Alamos National Laboratory. While a graduate student he led a cooperative calling itself Eudaemonic Enterprises who built the first wearable (and concealed) digital computer and used it in casinos, successfully beating the house. He was a founder of Prediction Company, an early quantitative automated trading firm that was sold to the United Bank of Switzerland in 2006. His current research is in economics, including agent-based modeling, financial instability and technological progress, and a founder of Macrocosm, a new company using complexity economics to guide the green energy transition. As an adventurer and avid sailor, Doyne also finds time to enjoy sailing his boat Eudemon.