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Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society

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"The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures. Humans are on the verge of evolving from consumers to prosumers, and old, entrenched theories - in particular sociological and economic ones - are falling prey to these rapid developments. The original assumptions on which they are based are being questioned. Each year we produce as much data as in the entire human history - can we possibly create a global crystal ball to predict our future and to optimally govern our world? Do we need wide-scale surveillance to understand nd manage the increasingly complex systems we are constructing, or would bottom-up approaches such as self-regulating systems be a better solution to creating a more innovative, more successful, more resilient, and ultimately happier society? Working at the interface of complexity theory, quantitative sociology and Big Data-driven risk and knowledge management, the author advocates the establishment of new participatory systems in our digital society to enhance coordination, reduce conflict and, above all, reduce the "tragedies of the commons," resulting from the methods now used in political, economic and management decision-making."--Back cover

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Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society, Dirk Helbing

Jazyk
Rok vydania
2015
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Titul
Thinking Ahead - Essays on Big Data, Digital Revolution, and Participatory Market Society
Jazyk
anglicky
Vydavateľ
Springer
Rok vydania
2015
Väzba
mäkká
Počet strán
208
ISBN10
3319150774
ISBN13
9783319150772
Série
Hodnotenie
3,65 z 5
Anotácia
"The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures. Humans are on the verge of evolving from consumers to prosumers, and old, entrenched theories - in particular sociological and economic ones - are falling prey to these rapid developments. The original assumptions on which they are based are being questioned. Each year we produce as much data as in the entire human history - can we possibly create a global crystal ball to predict our future and to optimally govern our world? Do we need wide-scale surveillance to understand nd manage the increasingly complex systems we are constructing, or would bottom-up approaches such as self-regulating systems be a better solution to creating a more innovative, more successful, more resilient, and ultimately happier society? Working at the interface of complexity theory, quantitative sociology and Big Data-driven risk and knowledge management, the author advocates the establishment of new participatory systems in our digital society to enhance coordination, reduce conflict and, above all, reduce the "tragedies of the commons," resulting from the methods now used in political, economic and management decision-making."--Back cover