Study Group Activities
October 17, 2019
Session leader: Annika Rockenberger
Topic: Preparing something cool for the Carpentries Tagathon in Week 44
Hackathon - Tagathon # The Carpentries are inviting to a community initative in week 44 called “Hacktoberfest”. It is about tagging the many blog posts on the three Carpentries websites: Software Carpentry, Data Carpentry, and Library Carpentry. The aim is to make the posts more findable by assigning topics.
Combining the skills taught in The Carpentries with the power of Digital Humanities, this StudyGroup will attempt to create a set of tags for the blog posts based on computational text analysis.
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September 26, 2019
Session leader: Anne Fouilloux
Rendering of live Jupyter notebooks with interactive widgets.
Voila serves live Jupyter notebook including Jupyter interactive widgets.
Unlike the usual HTML-converted notebooks, each user connecting to the Voila tornado application gets a dedicated Jupyter kernel which can execute the callbacks to changes in Jupyter interactive widgets.
During this two hour session, we plan to explore the voila package and learn how to use it. The idea is to understand if it is useful for our researchers.
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September 19, 2019
Session leader: Annika Rockenberger
Topic: Good Enough Practices in Scientific Computing
Picking up from where we left on 5th September 2019, we continue developing a lesson for a half-day workshop based on the article by Wilson et al. “Good Enough Practices in Scientific Computing” (2017). The article focuses not so much on computing but general digital literacy and good routines.
Join if you are interested in lesson development, digital literacy, and how to improve our daily data and computational habits!
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September 12, 2019
Session leader: Karin Lagesen
Topic: Instructor development and discussion on how to teach
Who: all Carpentries@UiO instructors When: 12nd September 2019 Time: 16:00-18:00 Location: Niels Henrik Abels hus Room 209
September 5, 2019
Session leader: Annika Rockenberger
Topic: Good Enough Practices in Scientific Computing
We are reading the article “Good Enough Practices in Scientific Computing” by Greg Wilson et al.
https://doi.org/10.1371/journal.pcbi.1005510
Come and discuss the article with us!
We want to create a Carpentries-style, half-day workshop based on the article, to be piloted in the fall semester here at UiO. Please bring the text & your laptop: we will work together brainstorming how to develop a lesson based on the contents of the article, and start creating a repository for the workshop development using the Carpentries lesson template.
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August 29, 2019
Session leader: Anne Fouilloux
Walk-through of the pre-prepared lesson (see https://coderefinery.github.io/osip/) to give feedback. This lesson will be taught at the 2019 Eurotech Summer School OPEN SCIENCE IN PRACTICE as a two-hour workshop.
The plan is also to teach it at UiO next semester or during the Research Bazaar.
Come and discuss with us how we can improve the lesson.
Feedback is welcome!
Who: anyone interested in Open Science When: 29th August 2019 Time: 16:00-18:00 Location: Niels Henrik Abels hus Room 209
August 22, 2019
Session leader: Annika Rockenberger
We are having a meeting to plan all our future events for Autumn 2019.
Come and tell us what events you would be interested to learn or to teach.
Level: all When: 22nd August 2019 Time: 16:00-18:00 Location: Niels Henrik Abels hus Room 209
June 25, 2019
Join Us At CarpentryConnect Manchester 2019! # Did you see the recent announcement, that registration is now open for the CarpentryConnect Manchester conference? The event is an opportunity for members of The Carpentries’ global community of instructors and anyone else with an interest in helping researchers to improve their computational skills, to get together for a few days to exchange ideas and learn some new things. With an exciting programme (still under development, no spoilers!
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June 5, 2019
Session leader: Dmytro P. and Athanasia Monika M.
In this workshop we will be exploring how to use linear mixed models when we have data that repeats over time. These kinds of models are often used in longitudinal studies or with time series data. They are powerful as the used maximum likelihood approximations rather than least squares, meaning they can better handle missing data, and competing models can be compared directly.
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June 3, 2019
Session leader: Radovan Bast, Anne Fouilloux and Sabry Razick.
Course goals # The aim of this course is to demonstrate to and familiarize the workshop participants with best practices and tools in modern research software development. The main focus is on professional tools for efficiently developing and maintaining research software. Since most research code is developed in a collaborative setting, we will discuss tools and workflows which facilitate this process. Most of the content is also relevant to a single developer.
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