This is a preview for the branch

On-site Meeting April 2024

The next Meetup will take place on 24th April 16-18 at CAB G 61 on the Zurich Zentrum campus.

We will also try to stream the presentations via Zoom at https://ethz.zoom.us/j/61286043246.

Please fill out the form at https://u.ethz.ch/6931D if you plan to attend in person. If you are not sure if you have already registered: the service sends out confirmation emails with the (misspelled) title “Registraion RSE Community Event April 2024” with uwe.schmitt@id.ethz.ch as the sender.

If you are interested in helping to move the RSE community forward, don’t forget to sign up for some of the working groups. Details and the link to register can be found at https://rse.ethz.ch/blog/2024_03_26_call_working_groups/.

The planned schedule for the event is

  • 16:00 - 16:15 Updates from the organisers
  • 16:15 - 16:45 Lightning talks, including
  • 16:45 - 17:15 Adéla Hlobilová (D-BAUG) will present UQLab and UQ[pyLab] (abstract below).
  • 17:15 - 18:00 Breakout discussions / networking

 

Abstract “Building Interactive Content with inseri core for WordPress”

Inseri core is a new tool developed as part of the swissuniversities project inseri.swiss that aims to allow researchers to create and publish interactive and executable online content without requiring web development skills. inseri core is a WordPress plugin under active development that introduces scientific and interactive components (e.g., Data Table, Plotly Chart, Python Code, JavaScript Code, Zenodo Repository) to facilitate open science.

Abstract “Presentation UQLab and UQ[pyLab]”:

The Chair of Risk, Safety and Uncertainty Quantification at ETH Zurich develops two prominent software platforms for uncertainty quantification: UQLab in Matlab since 2013, and its Python counterpart, UQ[py]Lab since 2021. These platforms offer robust tools for analysing and managing uncertainties in various engineering and scientific applications. UQLab provides a comprehensive suite of algorithms for surrogate modelling, uncertainty propagation, sensitivity analysis, reliability assessment, Bayesian model calibration and more; its Python equivalent, UQ[Py]lab, is based on an API called UQCloud, and Python bindings, opening the platform to a broader user base. To date UQLab has more than 7,000 cumulated users worldwide from more than 95 countries.