Insights into the quantification and reporting of model-related uncertainty across different disciplines

Author:

Simmonds Emily G.ORCID,Adjei Kwaku Peprah,Andersen Christoffer Wold,Hetle Aspheim Janne Cathrin,Battistin Claudia,Bulso Nicola,Christensen Hannah M.,Cretois Benjamin,Cubero Ryan,Davidovich Iván A.,Dickel Lisa,Dunn Benjamin,Dunn-Sigouin Etienne,Dyrstad Karin,Einum Sigurd,Giglio Donata,Gjerløw Haakon,Godefroidt Amélie,González-Gil Ricardo,Gonzalo Cogno Soledad,Große Fabian,Halloran Paul,Jensen Mari F.,Kennedy John James,Langsæther Peter Egge,Laverick Jack H.,Lederberger Debora,Li Camille,Mandeville Elizabeth G.,Mandeville Caitlin,Moe Espen,Navarro Schröder Tobias,Nunan David,Sicacha-Parada Jorge,Simpson Melanie Rae,Skarstein Emma Sofie,Spensberger Clemens,Stevens Richard,Subramanian Aneesh C.,Svendsen Lea,Theisen Ole Magnus,Watret Connor,O’Hara Robert B.

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference59 articles.

1. A short comment on statistical versus mathematical modelling;Saltelli;Nat. Commun.,2019

2. Communicating uncertainty about facts, numbers and science;Van Der Bles;R. Soc. Open Sci.,2019

3. The importance of uncertainty quantification in model reproducibility;Volodina;Philos. Trans. A Math. Phys. Eng. Sci.,2021

4. Communicating scientific uncertainty;Fischhoff;Proc. Natl. Acad. Sci. USA,2014

5. Embracing uncertainty in applied ecology;Milner-Gulland;J. Appl. Ecol.,2017

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