๐Ÿ“ฃ Announcement from RoSE: A new collaborative research project is now officially endorsed as a @RoSE_Network_ ร— @FORRT initiative ๐ŸŽ‰

This Big Team Science review will explore:
What is the current state of evidence on the use of statistical packages in teaching and learning contexts?

Weโ€™re pleased to be working alongside FORRT to support and promote this work, the first of many collaborations to come.
๐Ÿ‘€ Watch this space.

#StatisticsEducation #OpenScience
#Reproducibility

Weโ€™re looking for enthusiastic colleagues to join our voluntary committees and help shape the future of statistics education.

Current vacancies are now live
https://lnkd.in/eAXCBZ3j

We welcome applications from researchers and practitioners at any career stage, from undergraduate to Professor, anywhere in the world๐ŸŒ

๐Ÿ“… Deadline: 10th September 2025 (midnight, your time zone)
๐Ÿ‘‰ Apply here: https://lnkd.in/euqHE4s4

#RoSE #StatisticsEducation #Volunteering #AcademicCommunity

LinkedIn

This link will take you to a page thatโ€™s not on LinkedIn

I'm giving tonight's Twin Cities StatChat talk (https://zief0002.github.io/statchat/) about my work on comparing R syntaxes in intro stats. My slides are here: www.amelia.mn/presentations/SyntaxComparison_April2023.pdf and the paper they're based on is here: https://arxiv.org/abs/2201.12960 #tidyverse #rstats #statisticseducation
StatChat

Manifesting a good score & easy exam in Stat 102 later at 5:00 PM.

#statisticseducation #class

Now that #ICOTS proceedings are online, for those interested in #StatisticsEducation I am happy to share a paper that Alicia Johnson and I wrote:

Supporting #Bayesian Modeling with Visualizations

We mostly talk about supporting learning with visualization functions in bayesrules, an #rstats package.

https://iase-web.org/icots/11/proceedings/pdfs/ICOTS11_222_DOGUCU.pdf?1669865538

I'm excited that the #ICOTS proceedings are now live! If you are interested in #StatisticsEducation, take a look: https://iase-web.org/Conference_Proceedings.php?p=ICOTS_11_2022 I'm particularly proud of the paper I contributed to: "Looks okay to me": A study of best practices in data science code review. Authors: Amal Abdel-Ghani, @kellybodwin me, Ian Flores Siaca, and Allison Theobold.