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The aim of this book is to establish a basis for resolving the various issues facing modern society by exploring the field of Computational Social Science, which fuses the social and natural sciences. Today, society is threatened by problems concerning the environment, population growth, hunger and epidemics, all of which could lead to the extinction of humankind. However, attempting to resolve these issues is extremely difficult, because of the complex, intertwined factors involved, and because these issues are not just matters related to nature and the environment but also to society. In this book, we investigate this aporia of the social sciences with the help of big data (which has gained considerable attention in recent years) and techniques such as agent-based simulation. Our aim is to resolve the complex system problems characteristic of the present age. In this regard, the book focuses on specific issues such as the reconstruction of public character in our social-media-saturated modern lifestyle, the current state of social capital, and the resultant social changes.
Renowned trade theorist Koji Shimomura passed away in February 2007 at the age of 54. He published nearly 100 articles in international academic journals. The loss of this extremely productive economist has been an enormous shock to the economic profession. This volume has emerged from the great desire on the part of the profession to honor his contributions to economic research. Contributors include authoritative figures in trade theory such as Murray Kemp, Ronald Jones, Henry Wan, and Wilfred Ethier, world-renowned macroeconomists such as Stephen Turnovski and Costas Azariadis, and leading Japanese economists such as Kazuo Nishimura, Makoto Yano, Ryuzo Sato, and Koichi Hamada. This broad range of contributors reflects Koji Shimomura 's many connections as well as the respect he earned in the economic profession. This volume offers the reader a rare opportunity to learn the views of so many renowned economists from different schools of thought.
The aim of this book is to establish a basis for resolving the various issues facing modern society by exploring the field of Computational Social Science, which fuses the social and natural sciences. Today, society is threatened by problems concerning the environment, population growth, hunger and epidemics, all of which could lead to the extinction of humankind. However, attempting to resolve these issues is extremely difficult, because of the complex, intertwined factors involved, and because these issues are not just matters related to nature and the environment but also to society. In this book, we investigate this aporia of the social sciences with the help of big data (which has gained considerable attention in recent years) and techniques such as agent-based simulation. Our aim is to resolve the complex system problems characteristic of the present age. In this regard, the book focuses on specific issues such as the reconstruction of public character in our social-media-saturated modern lifestyle, the current state of social capital, and the resultant social changes.
Renowned trade theorist Koji Shimomura passed away in February 2007 at the age of 54. He published nearly 100 articles in international academic journals. The loss of this extremely productive economist has been an enormous shock to the economic profession. This volume has emerged from the great desire on the part of the profession to honor his contributions to economic research. Contributors include authoritative figures in trade theory such as Murray Kemp, Ronald Jones, Henry Wan, and Wilfred Ethier, world-renowned macroeconomists such as Stephen Turnovski and Costas Azariadis, and leading Japanese economists such as Kazuo Nishimura, Makoto Yano, Ryuzo Sato, and Koichi Hamada. This broad range of contributors reflects Koji Shimomura 's many connections as well as the respect he earned in the economic profession. This volume offers the reader a rare opportunity to learn the views of so many renowned economists from different schools of thought.
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