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SSRN Electronic Journal
Article
License: CC BY
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SSRN Electronic Journal
Article . 2018 . Peer-reviewed
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https://doi.org/10.1093/oxford...
Part of book or chapter of book . 2018 . Peer-reviewed
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Nuclear Proliferation: The Risks of Prediction

The Risks of Prediction
Authors: Solingen, Etel;

Nuclear Proliferation: The Risks of Prediction

Abstract

Abstract This chapter reviews existing theoretical tools for predicting proliferation or nonproliferation, spanning a range of agents across levels of analysis. It then distills relevant considerations for exploring future scenarios in East Asia. The region provides a good laboratory for understanding failed past predictions and for identifying conditions for potential transformations of its nuclear order. The final section extracts lessons for relying on cutting edge scholarship to map out proliferation futures. A promising research agenda attentive to complex systemic effects, dynamics of the global economy, regime survival, norm,s and institutions has replaced older accounts. Yet a unified field theory capable of predicting proliferation may not be in our grasp.

Keywords

Aging, forecasting, prediction, nuclear proliferation, North Korea, weapons of mass destruction, East Asia

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid