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The checkered history of predicting the future — e.g., “Man will never fly” — has dissuaded policymakers from considering the long-term effects of decisions. New analytic methods, enabled by modern computers, transform our ability to reason about the future. The authors here demonstrate a quantitative approach to long-term policy analysis (LTPA). Robust methods enable decisionmakers to examine a vast range of futures and design adaptive strategies to be robust across them. Using sustainable development as an example, the authors discuss how these methods apply to LTPA and a wide range of decisionmaking under conditions of deep uncertainty.
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Stored only when both papers are in the corpus — 1,248 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
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