Statistics Communication

Join us on October 12, for a symposium on Open Statistics in Utrecht! Dive into #OpenScience with experts📊5 talks on statistical transparency, model building, data & code sharing to boost community collaboration. Stay tuned for info on speakers! @VVS_OR shorturl.at/dinxP

We look forward to learn more about Open Science, open statistics, reproducible research and multiverse analysis on Thursday October 12th in Utrecht. Now is the time to sign up: vvsor.nl/statistics-com… #openscience #Utrecht @VVS_OR

Gain insights on conducting multiverse analysis with speaker Tom Heyman, Asst. Prof. of Methodology & Statistics at @UniLeiden. His talk focuses on how to assess robustness & enhancing transparency in empirical data analysis through examples @VVS_OR shorturl.at/dinxP

Join us in welcoming 3rd speaker @JudithterSchure, consultant statistician & assistant prof at @amsterdamumc . On Oct 12, she will illustrate the statistician’s role in fostering improvements for clinical trials and need for advancing transparency @VVS_OR shorturl.at/dinxP

Presenting speaker dr. Bawan Amin @Bio_Bawan, Open Science Advisor at @UniUtrecht. On Oct 12, he'll share insights on enhancing research transparency to tackle the “reproducibility crisis.” Discover the crucial role of preregistration in a transparent research workflow!📊 @VVS_OR

Introducing speaker Martijn van der Meer @vandermeer_rm, senior policy advisor at @TilburgU. Join us on Oct 12 as he navigates the nuanced world of #OpenScience, exploring its implementation in NL amidst evolving research policies @VVS_OR shorturl.at/dinxP

Coming up, June 6+13: Webinar series on Persuasive Statistics; what is the influence of numeracy, and how can people gain resistance against (numerical) misinformation? - Ellen Peters @ellenpetersjdm - Sander van der Linden @Sander_vdLinden More info: vvsor.nl/statistics-com…

The 3rd meeting, with @DaanTim2 as a speaker, will start in 30 minutes!

Join the first meeting of this series today!

More info and registration: vvsor.nl/articles/webin…

nov 29: Ellen Engelhardt (@NKI_nl) will use the context of early-stage breast cancer as an example to zoom in on whether and how uncertainty is discussed by healthcare professionals and patients’ preferences for receiving information about the uncertainty.

All abstracts for the Uncertainty Communication webinar series are now online: vvsor.nl/articles/webin… This online event is open for both members and non-members.

We finished off this super interesting day with @MarjoFokkema of @UniLeiden, who gave a talk describing that tree- and rule-based methods can be used at the same time to explain the predictions of black-box models @VVSOR

A great overview of the research and application of explainable (XAI) in medical imaging by @BasvanderVelden with so many options... among others image-based, text-based, case-based explanations and the development in medical imaging @VVSOR sciencedirect.com/science/articl…

The third talk of the day by Tim van Erven (@tverven) made us think about the difficulty of providing both recourse (reasonable things to tell users they can influence in their features to change prediction) and robustness in explainable ML #ML #recourse #improve

The offline talk of @abdulaliyevat of @amnestynl on the “toeslagenaffaire” (childcare benefit scandal) and the human right violations by algorithms and tips and frameworks on how to avoid them in the future. Download the report here: amnesty.org/en/documents/e… @VVSOR

The TML (Transparant Machine Learning) symposium have just kicked off with the first talk, by @hanedhinda about the user experience, impact and asking questions to develop (more) explainable AI. @VVS_OR #symposium #utrecht