For those of you who enjoy teaching data science or software development, see below.
Sean From: "Federer, Lisa (NIH/NLM) [E]" <[email protected]> Reply-To: "Federer, Lisa (NIH/NLM) [E]" <[email protected]> Date: Monday, December 2, 2019 at 12:33 PM To: List NIH-DATASCIENCE-L <[email protected]> Subject: Applications accepted for NIH Carpentries Instructor Training Session The NIH will host an Instructor Training Session for the Carpentries, January 29-30, 2020 from 9 am to 5 pm both days, at the NIH Library. Because this session is limited to 15 participants, interested individuals are asked to complete an application form<https://nlmenterprise.co1.qualtrics.com/jfe/form/SV_3sykUPOHR1TCtqR> no later than December 12. Participant selection will be based on Institute/Center (to ensure representation from across NIH), interest, familiarity with tools, and ability to commit to teaching a two-day Carpentries session at NIH over the next year (typically from 9 am - 5 pm). Participants will be expected to be attend the full 9 am - 5 pm session on both days. Additional information, including a sample agenda, is available at the Carpentries website<https://carpentries.github.io/instructor-training/>. Participants selected to participate will be notified by December 13, 2019 and must register via the Carpentries website no later than December 18, 2019 to reserve their space. The class will be hands-on throughout: short lessons will alternate with individual and group practical exercises, including practice teaching sessions. Those who complete the two full days and some short follow-up exercises online<https://carpentries.github.io/instructor-training/checkout/> will be certified to teach Software Carpentry<https://software-carpentry.org/>, Data Carpentry<http://datacarpentry.org/>, and Library Carpentry<https://librarycarpentry.org/> workshops. · All participants in this course are required to abide by the Carpentries' Code of Conduct<https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html>. · There are no specific prerequisites for this training, but participants will benefit from having attended a Data Carpentry or Software Carpentry workshop either as learner or helper so that they are familiar with our teaching techniques and the style of our workshops. · In particular, participants are not required to have any specific programming skills (though of course they should know enough about the subjects of one or more of our lessons to be able to teach them). If you have further questions, please contact Lisa Federer<mailto:[email protected]>. __________________________________ Lisa Federer, PhD, MLIS Data Science and Open Science Librarian Office of Strategic Initiatives National Library of Medicine National Institutes of Health [email protected]<mailto:[email protected]> 301-827-4399 ________________________________ To unsubscribe from the NIH-DATASCIENCE-L list, click the following link: http://list.nih.gov/cgi-bin/wa.exe?SUBED1=NIH-DATASCIENCE-L&A=1
