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Why Information Grows: The Evolution of Order, from Atoms to Economies

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In Why Information Grows, rising star Cesar Hidalgo offers a radical interpretation of global economics

What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But MIT professor Cesar Hidalgo argues that in order to fully grasp the nature of economic growth we need to transcend the social sciences and turn to the science of information, networks and complexity. The growth of economies, he explains, is deeply connected with the growth of order - or information.

At first glance, the universe seems hostile to order. Thermodynamics dictates that over time, order will disappear. But thermodynamics also has loopholes that promote the growth of information in pockets. Our cities are such pockets where information grows, but they are not all the same. For every Silicon Valley, Tokyo, and London, there are dozens of places with underdeveloped economies. Why does the US economy outstrip Brazil's, and Brazil's that of Chad? Why did the technology corridor along Boston's Route 128 languish while Silicon Valley blossomed? In each case, the key is how people, companies, and the networks they form process information - it is all about their knowledge, knowhow and imagination. As Hidalgo compellingly shows, economies are made of networks of people and society is a collective computer. The problem of economic development is in fact the problem of making these networks more powerful.

A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about the development of economies and the origins of wealth and takes a crucial step toward making economics less the dismal science and more the insightful one.

Συγγραφέας: Hidalgo Cesar
Εκδότης: PENGUIN
Σελίδες: 232
ISBN: 9780141978024
Εξώφυλλο: Μαλακό Εξώφυλλο
Αριθμός Έκδοσης: 1
Έτος έκδοσης: 2016

César A. Hidalgo is a physicist, professor, and author known for pioneering work in economic complexity, data visualization, and applied artificial intelligence. For nine years he led MIT’s Collective Learning Group before moving to France to found the Center for Collective Learning (CCL), an international research laboratory with offices at the Toulouse School of Economics and Corvinus University of Budapest.

Author of Why Information Grows (Allen Lane, 2015) and co-author of The Atlas of Economic Complexity and How Humans Judge Machines (MIT, 2014, 2021), he was the sole recipient of the 2018 Lagrange Prize recognizing excellence and innovation in the study of complex systems. Hidalgo is the author of more than sixty peer-reviewed publications that have been cited by tens of thousands of studies. His TED talk on augmented democracy has been viewed over two million times.

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