English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Well-executed emergency evacuations can save lives and reduce suffering.However, decision makers struggle to determine optimal evacuation policiesgiven the chaos, uncertainty, and value judgments inherent in emergencyevacuations. We propose and analyze a decision support tool for pre-crisistraining exercises for teams preparing for civilian evacuations and explore thetool in the case of the 2021 U.S.-led evacuation from Afghanistan. We usedifferent classes of Markov decision processes (MDPs) to capture compoundinglevels of uncertainty in (1) the priority category of who appears next at thegate for evacuation, (2) the distribution of priority categories at thepopulation level, and (3) individuals' claimed priority category. We comparethe number of people evacuated by priority status under eight heuristicpolicies. The optimized MDP policy achieves the best performance compared toall heuristic baselines. We also show that accounting for the compoundinglevels of model uncertainty incurs added complexity without improvement inpolicy performance. Useful heuristics can be extracted from the optimizedpolicies to inform human decision makers. We open-source all tools to encouragerobust dialogue about the trade-offs, limitations, and potential of integratingalgorithms into high-stakes humanitarian decision-making.

Prioritizing emergency evacuations under compounding levels of uncertainty