Annika Rockenberger (she/they)Jun 2, 2023
#Friday
This week was a bit odd; it was short, and I was not in my office for two of the four days. Next week will be tightly packed w/ meetings and more #collaboration outside of the #UniversityLibrary: I will be at the National Library of Norway's DH Lab on Monday and at the Dept. of Archeology, Conservation and History on Wednesday with #ResearchSupportPartnershipUiO. There are also some news regarding #DHOslo and #DHNBLAM, so stay tuned!
Enjoy the weekend friends –
Annika Rockenberger (she/they)Mar 23, 2023
I am beyond happy to start as an on-site digital research activities liaison and partnership between the University of Oslo library and the Dept. for Archeology, Conservation Studies and History. I will be available for any and all of the Depts. researchers' questions, ideas, data and methods troubles every Wednesday! #DigitalHistory at #UniversityOfOslo here we go! #DHOslo
Annika Rockenberger (she/they)Jan 24, 2023
The Cultural Literacy Everywhere (CLE) conference in Oslo, 15–17 June 2023, will have Timothy Tangherlini and Tejaswinee Kelkar as keynote speakers! https://cleurope.eu/2023/01/12/cle-conference-2023/ #dhoslo #digitalcreativity #music #socialmedia
DIGITAL CREATIVITY CONFERENCE – My CMS

Annika Rockenberger (she/they)Jan 18, 2023
Hei all! Cultural Literacy Everywhere (CLE) is organising a conference in beautiful Oslo this summer! See the Call for Proposals here: https://cleurope.eu/cle2017/cle-2023-conference/ Topic: Digital Creativity! #DHOslo #DigitalHumanities #Creativity #Art #Music
CLE 2023 Conference – My CMS

Annika Rockenberger (she/they)Nov 17, 2022
Preparing #OpenRefine lesson for the #DataCarpentry workshop for Social Sciences and Humanities I teach next week: https://www.ub.uio.no/english/courses-events/courses/other/Carpentry/221124_dcssh #DHOslo #dataskills #RStudio
Data Carpentry: Social Sciences and Humanities Using R, November 24 and 25 - University of Oslo Library

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain-specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research.