Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10609/147614
Registro completo de metadatos
Campo DC | Valor | Lengua/Idioma |
---|---|---|
dc.contributor.author | Razavi, Saman | - |
dc.contributor.author | Jakeman, Anthony | - |
dc.contributor.author | saltelli, andrea | - |
dc.contributor.author | Prieur, Clémentine | - |
dc.contributor.author | Iooss, Bertrand | - |
dc.contributor.author | Borgonovo, Emanuele | - |
dc.contributor.author | Plischke, Elmar | - |
dc.contributor.author | Lo Piano, Samuele | - |
dc.contributor.author | Iwanaga, Takuya | - |
dc.contributor.author | Becker, William | - |
dc.contributor.author | Tarantola, Stefano | - |
dc.contributor.author | Guillaume, Joseph | - |
dc.contributor.author | Jakeman, John | - |
dc.contributor.author | Gupta, Hoshin | - |
dc.contributor.author | Melillo, Nicola | - |
dc.contributor.author | Rabitti, Giovanni | - |
dc.contributor.author | Chabridon, Vincent | - |
dc.contributor.author | Duan, Qingyun | - |
dc.contributor.author | SUN, XIFU | - |
dc.contributor.author | Smith, Stefan | - |
dc.contributor.author | Sheikholeslami, Razi | - |
dc.contributor.author | Hosseini, Nasim | - |
dc.contributor.author | Asadzadeh, Masoud | - |
dc.contributor.author | Puy, Arnald | - |
dc.contributor.author | Kucherenko, Sergei | - |
dc.contributor.author | Maier, Holger | - |
dc.contributor.other | University of Saskatchewan | - |
dc.contributor.other | The Australian National University | - |
dc.contributor.other | Universitat Oberta de Catalunya (UOC) | - |
dc.contributor.other | Université de Grenoble Alpes | - |
dc.contributor.other | EDF R&D, Département PRISME / SINCLAIR AI Laboratory | - |
dc.contributor.other | Bocconi University | - |
dc.contributor.other | Technische Universität Clausthal | - |
dc.contributor.other | University of Reading | - |
dc.contributor.other | University of Arizona | - |
dc.contributor.other | Università degli Studi di Pavia | - |
dc.contributor.other | Heriot-Watt University | - |
dc.contributor.other | Hohai University | - |
dc.contributor.other | University of Oxford | - |
dc.contributor.other | University of Manitoba | - |
dc.contributor.other | Princeton University | - |
dc.contributor.other | University of Bergen | - |
dc.contributor.other | Imperial College London | - |
dc.contributor.other | University of Adelaide | - |
dc.date.accessioned | 2023-03-06T11:21:42Z | - |
dc.date.available | 2023-03-06T11:21:42Z | - |
dc.date.issued | 2021-01-16 | - |
dc.identifier.citation | Razavi, S., Jakeman, A., Saltelli, A., Prieur, C., Iooss, B., Borgonovo, E., Plischke, E., Lo Piano, Samuele, Iwanaga, T., Becker, W., Tarantola, S., Guillaume, J., Jakeman, J., Gupta, H., Melillo, Nicola, Rabitti, G., Chabridon, V., Duan, Q., Sun, X., Smith, S., Sheikholeslami, R., Hosseini, N., Asadzadeh, M., Puy, A., Kucherenko, S. & Maier, H.R. (2021). The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support. Environmental Modelling & Software, 137, 1-22. doi: 10.1016/j.envsoft.2020.104954 | - |
dc.identifier.issn | 1364-8152MIAR | - |
dc.identifier.uri | http://hdl.handle.net/10609/147614 | - |
dc.description.abstract | Sensitivity analysis (SA) is en route to becoming an integral part of mathematical modeling. The tremendous potential benefits of SA are, however, yet to be fully realized, both for advancing mechanistic and data-driven modeling of human and natural systems, and in support of decision making. In this perspective paper, a multidisciplinary group of researchers and practitioners revisit the current status of SA, and outline research challenges in regard to both theoretical frameworks and their applications to solve real-world problems. Six areas are discussed that warrant further attention, including (1) structuring and standardizing SA as a discipline, (2) realizing the untapped potential of SA for systems modeling, (3) addressing the computational burden of SA, (4) progressing SA in the context of machine learning, (5) clarifying the relationship and role of SA to uncertainty quantification, and (6) evolving the use of SA in support of decision making. An outlook for the future of SA is provided that underlines how SA must underpin a wide variety of activities to better serve science and society. | en |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | en |
dc.publisher | Elsevier BV | - |
dc.relation.ispartof | Environmental Modelling & Software, 2021, 137 | - |
dc.relation.ispartofseries | Environmental Modelling & Software;137 | - |
dc.relation.uri | https://doi.org/10.1016/j.envsoft.2020.104954 | - |
dc.rights | CC BY 4.0 | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | sensitivity analysis | en |
dc.subject | anàlisi de sensibilitat | ca |
dc.subject | análisis de sensibilidad | es |
dc.subject | mathematical modeling | en |
dc.subject | modelització matemàtica | ca |
dc.subject | modelización matemática | es |
dc.subject | machine learning | en |
dc.subject | aprenentatge automàtic | ca |
dc.subject | aprendizaje automático | es |
dc.subject | uncertainty quantification | en |
dc.subject | quantificació de la incertesa | ca |
dc.subject | cuantificación de la incertidumbre | es |
dc.subject | decision making | en |
dc.subject | presa de decisions | ca |
dc.subject | toma de decisiones | es |
dc.subject | model validation and verification | en |
dc.subject | validació i verificació del model | ca |
dc.subject | validación y verificación de modelos | es |
dc.subject | model robustness | en |
dc.subject | solidesa del model | ca |
dc.subject | robustez del modelo | es |
dc.subject | policy support | en |
dc.subject | suport a les polítiques | ca |
dc.subject | apoyo a la política | es |
dc.subject.lcsh | machine learning | en |
dc.title | The Future of Sensitivity Analysis: An essential discipline for systems modeling and policy support | en |
dc.type | info:eu-repo/semantics/article | - |
dc.subject.lemac | aprenentatge automàtic | ca |
dc.subject.lcshes | aprendizaje automático | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.doi | https://doi.org/10.1016/j.envsoft.2020.104954 | - |
dc.gir.id | AR/0000008583 | - |
dc.type.version | info:eu-repo/semantics/publishedVersion | - |
Aparece en las colecciones: | Articles cientÍfics Articles |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
The_Future_of_Sensitivity_Analysis_An_essential_discipline_for_systems_modeling_and_policy_support.pdf | 2,52 MB | Adobe PDF | Visualizar/Abrir |
Comparte:
Los ítems del Repositorio están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.