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Generative Social Science - Joshua M. Epstein - Innbundet () » Bokkilden
Sandifer, Ed September Google Scholar Download references. Author information Affiliations Joshua M. Epstein Authors Search for Joshua M. Rights and permissions To obtain permission to re-use content from this article visit RightsLink. About this article Publication history Published 05 August Comments By submitting a comment you agree to abide by our Terms and Community Guidelines.
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In November , an ad hoc planning committee at the National Academies of Sciences, Engineering, and Medicine planned two sister workshops held in Washington, DC, to examine the lessons from influenza pandemics and other major outbreaks, understand the extent to which the lessons have been learned, and discuss how they could be applied further to ensure that countries are sufficiently ready for future pandemics.
This publication summarizes the presentations and discussions from both workshops. From the discussions, it became clear that of utmost urgency is the need to cast the issue of a response in an appropriate framework in order to attract the attention of Congress and the public in order to garner sufficient and sustainable support for such initiatives. No matter how the issue is cast, numerous workshop participants agreed that there are many gaps in the public health infrastructure and countermeasure capabilities that must be prioritized and addressed in order to assure a rapid and effective response to another bioterrorist attack.
Similar ebooks. Book Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects.
After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation.
Garrett M. I repeatedly cried…This book captures the emotions and unspooling horror of the day.
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