# Sobolindices.com: the data-driven online Sobol' indices calculator is now online!

**URL:** <https://uqworld.org/t/sobolindices-com-the-data-driven-online-sobol-indices-calculator-is-now-online/160>\
**Category:** News and Announcement\
**Created:** [May 24, 2019, 2:58pm UTC](https://uqworld.org/t/sobolindices-com-the-data-driven-online-sobol-indices-calculator-is-now-online/160 "2019-05-24T14:58:29Z")\
**Posts on this page:** 1\
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**Author:** ![ste](https://uqworld.org/user_avatar/uqworld.org/ste/32/122_2.png) [@ste](https://uqworld.org/u/ste)\
**Post date:** [May 24, 2019, 2:58pm UTC](https://uqworld.org/t/sobolindices-com-the-data-driven-online-sobol-indices-calculator-is-now-online/160/1 "2019-05-24T14:58:29Z")

</div>

Sensitivity analysis is a very useful tool in virtually any field of engineering and applied sciences.

Performing advanced sensitivity analysis can be quite complex computationally, therefore requiring a large number of model runs and/or specific input parameter exploration strategies. This is in particular true for well established methods like the variance-decomposition-based Sobol’ sensitivity indices\[1\].

We are therefore happy to launch our new pilot online service [www.sobolindices.com](http://www.sobolindices.com) to provide an easy\[2\] way out to anyone who wants to do sensitivity but without the agonizing pain! The entirely data-driven tool capitalizes on the beautiful synergy between sparse polynomial chaos expansions and Sobol’ indices\[3\], and is powered by UQLab.

Head over to [www.sobolindices.com](http://www.sobolindices.com) and try it out! If you don’t have a test dataset, you can download [this one](https://www.sobolindices.com/download/113/), which corresponds to a 3-dimensional test case with some interesting features (spoiler alert: it’s the Ishigami function!).

Let us know if you like this pilot project and if you would like to see it grow with more functionality in the future.

* * *

1. Sobol, I.M.: Sensitivity estimates for non linear mathematical models. Math. Model. Comput. Exp. **1** , 407–414 (1993) 

2. [https://www.sobolindices.com/howto/](https://www.sobolindices.com/howto/) 

3. Sudret, B.: Global sensitivity analysis using polynomial chaos expansions, Rel. Eng. & Sys. Safety,  
Volume 93, Issue 7, 964–979 (2008)