Carpentries, Genomics, and Data Science training at the Smithsonian

The Carpentries – We teach foundational coding and data science skills to researchers worldwide.

The Carpentries (comprised of Data Carpentry, Library Carpentry, and Software Carpentry) is a project whose mission is to teach foundational computational and data science skills to researchers and others who create, manage, and use data.

The Smithsonian Institution has been a member organization since 2017. More than 200 Smithsonian researchers and other staff have taken at least one Carpentries course since then. We also conduct custom workshops, most of which have been genomics-related. Workshop materials can be found on our GitHub page. You can read more about the Smithsonian Carpentries team in our 2019 annual report.

We offer workshops to general audiences and targeted groups at the Smithsonian on a fairly regular basis, but you can sign up for our announcement mailing list to be informed of each event. To sign up for notifications, click the button below and enter your email address:

 

Trained Carpentries Instructors

We are looking for Smithsonian staff and fellows to be trained to join our team of instructors. No prior teaching experience is necessary, but we suggest experience with using one or more of the following: spreadsheets, OpenRefine, Python, R, SQL, Unix, or GitHub. All instructors attend a 2-day training workshop using evidence-based techniques for teaching computational skills.

We will be accepting instructors on a rolling basis.

Active Instructors

  • Stephen Cox, SI Libraries
  • Carrie Craig, NMNH LAB
  • Amanda Devine, GGI
  • Rebecca Dikow, OCIO
  • Jennifer Giaccai, Freer-Sackler
  • Vaness Gonzalez, GGI
  • Jennifer Hammock, NMNH EOL
  • Valentine Herrmann, SCBI
  • James Holmquist, SERC
  • Matt Kweskin, NMNH LAB
  • Holly Little, NMNH Paleo
  • Alex Robillard, OCIO
  • Mike Trizna, OCIO
  • Mirian Tsuchiya, OCIO
  • Luis Villanueva, OCIO
  • Alex White, OCIO
  • Sue Zwicker, SI Libraries

Alumni Instructors

  • Lucy Chang, NMNH Paleo
  • Dave Klinges, SERC
  • Mauro Lepore, ForestGEO

Requesting a Workshop

Do you work at the Smithsonian and want to organize a workshop to be held at your unit?

Send an email to SI-DataScience@si.edu, and answer the following questions:

  • Who is the contact person?
    • Tell us about yourself and your role with the Smithsonian.
  • How many learners do you expect to participate?
    • We have taught workshops with as many as 40 learners, but we understand that some units and locations at the Smithsonian will only be able to host smaller workshops.
  • Do you have a good location to hold a workshop?
    • We have hosted workshops in many different locations around the Smithsonian (see below), but some rooms require special permissions to reserve them. The room should have a large screen or projector, plenty of electrical outlets for learner laptops, and WiFi.
  • What lesson(s) do you have in mind?
    • Take a look at the existing Data, Library, and Software Carpentries lessons, and decide if these cover the skills the learners would benefit from. We have developed custom workshops in the past.
  • What is the timeframe?
    • Keep in mind that it will take a few weeks to pull together instructors and helpers who can devote 1-2 days of their time.
    • Also keep in mind that it will take considerably more time to develop custom lessons.

Date Location Subject
Feb 7-8, 2018 NMNH Data Carpentry Ecology with Python
Mar 7-8, 2018 SERC Data Carpentry Ecology with R
Jun 12-13, 2018 NMNH Data Carpentry Genomics
Oct 10-19, 2018 SCBI Conservation Genomics
Feb 4-5, 2019 Castle Library Winter 2019 Quarterly Data Carpentry (Python)
March 5, 2019 NMNH Introduction to SI/HPC
March 6, 2019 NMNH Informatics for Metabarcoding
May 16-17, 2019 Castle Library Spring 2019 Quarterly Data Carpentry (R)
June 4-5, 2019 NMNH Genome Annotation Workshop
June 19-20, 2019 SERC Data Carpentry with R
July 9-10, 2019 Castle Library Data Carpentry for Interns
August 15-16, 2019 Castle Library Summer 2019 Quarterly Data Carpentry (Python)
September 25-26, 2019 SCBI Data Carpentry with R