Imperial College London
Alternate

DrSergeiKucherenko

Faculty of Engineering, Department of Chemical Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 6624s.kucherenko Website

 
 
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Location

 

Centre for Process Systems(C505)Roderic Hill BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Razavi:2021:10.1016/j.envsoft.2020.104954,
author = {Razavi, S and Jakeman, A and Saltelli, A and Prieur, C and Iooss, B and Borgonovo, E and Plischke, E and Lo, Piano S and Iwanaga, T and Becker, W and Tarantola, S and Guillaume, JHA and Jakeman, J and Gupta, H and Melillo, N and Rabitti, G and Chabridon, V and Duan, Q and Sun, X and Smith, S and Sheikholeslami, R and Hosseini, N and Asadzadeh, M and Puy, A and Kucherenko, S and Maier, HR},
doi = {10.1016/j.envsoft.2020.104954},
journal = {Environmental Modelling & Software},
pages = {1--22},
title = {The future of sensitivity analysis: An essential discipline for systems modeling and policy support},
url = {http://dx.doi.org/10.1016/j.envsoft.2020.104954},
volume = {137},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Razavi,S
AU  - Jakeman,A
AU  - Saltelli,A
AU  - Prieur,C
AU  - Iooss,B
AU  - Borgonovo,E
AU  - Plischke,E
AU  - Lo,Piano S
AU  - Iwanaga,T
AU  - Becker,W
AU  - Tarantola,S
AU  - Guillaume,JHA
AU  - Jakeman,J
AU  - Gupta,H
AU  - Melillo,N
AU  - Rabitti,G
AU  - Chabridon,V
AU  - Duan,Q
AU  - Sun,X
AU  - Smith,S
AU  - Sheikholeslami,R
AU  - Hosseini,N
AU  - Asadzadeh,M
AU  - Puy,A
AU  - Kucherenko,S
AU  - Maier,HR
DO  - 10.1016/j.envsoft.2020.104954
EP  - 22
PY  - 2021///
SN  - 1364-8152
SP  - 1
TI  - The future of sensitivity analysis: An essential discipline for systems modeling and policy support
T2  - Environmental Modelling & Software
UR  - http://dx.doi.org/10.1016/j.envsoft.2020.104954
UR  - https://www.sciencedirect.com/science/article/pii/S1364815220310112?via%3Dihub
UR  - http://hdl.handle.net/10044/1/86542
VL  - 137
ER  -
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