Passionate about teaching? Become a Certified Carpentries Instructor! The Carpentries is an international organization that trains and supports volunteers to teach foundational coding and data science skills to researchers. Becoming a Certified Carpentries Instructor offers professional development by building valuable, evidence-based teaching skills. You’ll gain hands-on practice, join a vast international community, and enhance local…
Announcing the lineup of workshops for the Winter quarter: Geospatial Data Carpentry with R: January 5-9, 9:30 am – 12:00 pm / Zoom and UCSB Library (Room 2509) Master geospatial analysis in R in this four-day workshop. We will cover R basics, working with raster and vector data, and performing essential GIS operations. Join us…
This edited volume explores the role of 3-D technologies in the study, teaching, and preservation of medieval and early modern art and architecture. It considers how tools such as photogrammetry, LiDAR, virtual reality (VR), augmented reality (AR), and related digital methods are reshaping the ways we access, interpret, and engage with the cultural heritage of…
Registration is now open for the sixth annual UC GIS Week conference, which will be held virtually from November 18-20, 2025. Initiated by the University of California GIS Leadership Committee, the conference will feature presentations, lightning talks, and a virtual map/poster gallery, all centering on geospatial research and applications. Attend one or multiple sessions of this…
The Fall workshop schedule is here! Stay up to date by joining the mailing list, you’ll be the first to know when registration opens. All workshops will take place in the Library: Join the Carpentry @ UCSB mailing list
A different workshop every day between September 15 and 25, 8:30 am – 12:30 pm, Remote (via Zoom) Join us for a 9-day Carpentries workshop series aimed at teaching participants the essential concepts, skills, and tools for R in RStudio, Python in Jupyter Notebook, intro to Unix Shell, Version Control with Git, SQL, Tidy Data…