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Advancing early warning mechanisms: an augmented intelligence-driven model for predicting multidimensional vulnerability levels in Afghanistan – CORRIGENDUM

Published online by Cambridge University Press:  14 April 2025

Abstract

Type
Corrigendum
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

This manuscript was published with an incorrect funding statement. The funding statement originally read:

‘This work was funded by the United Nations Development Program (UNDP).UNAMA and UNDP approved the publishing of the results.’

The funding statement has now been corrected to:

‘This work was funded by the United Nations Development Program (UNDP). UNAMA approved the publishing of the results.’

The authors apologise for this error.

References

Aras, D and Westlake, T (2025) Advancing early warning mechanisms: an augmented intelligence-driven model for predicting multidimensional vulnerability levels in AfghanistanData & Policy. 7:e16. https://doi.org/10.1017/dap.2024.91CrossRefGoogle Scholar
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