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The Carpentries

This guide will help folks find information relating to NYU's membership in the Carpentries organization.

The Carpentries

Attending a Carpentries workshop builds the skills and perspectives to work more effectively with data and software. You will build a skill set that will help you use code to replicate operations or clean up data, automate routine tasks and help you on the way to doing robust research, as well as the confidence to continue learning.

We create a friendly environment for learning to empower researchers and enable data driven discovery. All workshop participants are required to abide by our Code of Conduct to ensure that all attendees to have a positive learning experience. Workshops are currently designed for people with little to no prior computational experience. Have a look at some learner profiles and read some testimonials to what others have found useful.

See more information on the workshops we offer, including Software Carpentry, Data Carpentry, and Library Carpentry.

All Carpentries instructors have completed instructor training. Once badged as an Instructor, you can go on to teach workshops. Find more about teaching and hosting workshops in our handbook.

NYU's Membership in the Carpentries

the carpentries logo

The Carpentries is a non-profit organization that teaches foundational coding, and data science skills to researchers worldwide. Software Carpentry, Data Carpentry, and Library Carpentry workshops are based on our lessons. The Carpentries has more than 70 member organizations in 10 countries.

NYU is a Silver Member Organization in the Carpentries, meaning we can train 6 people per year to become Carpentries instructors (online trainings only), host as many self-organized workshops as we'd like to, and sit on the Carpentries Member Council.

NYU's membership is funded by the Division of Libraries. If you would like to be involved with the Carpentries at NYU (e.g. become an instructor, host a workshop in your department, etc.), contact Alexandra Provo <ap180@nyu.edu>.