Foundations of Research Computing
Foundations of Research Computing
NYU Data Services (NYU Libraries and IT), the Graduate School of Arts & Science Master’s College, and the Arts & Sciences Office of Teaching Excellence and Innovation are excited announce the next iteration of JTerm FORC.
During this one day in-person learning opportunity, taking place January 14, 2027, interested students will develop the skills they need to create effective data visualizations.
This course is open to graduate students and post docs, and is offered as part of the J-Term Flash FORC (Foundations of Research Computing) program. This is a session for people who may or may not have familiarity with web publishing and want to create visualizations that help make arguments from their data. Participants will get hands-on experience with the Observable Notebooks platform and explore using AI to generate code snippets for the notebook. In the afternoon, the session continues with a look at principles of data visualization focusing on quantitative data.
Participants will need to bring their own laptop (no tablets) with a working browser such as Chrome, Firefox, Edge, or Safari. If you do not have a laptop, we are happy to supply you with one, please let us know as early as possible if this is the case so that we can provide one.
Please note that there are a limited number of seats for this program, and that it is important to commit to the instructional course you register for. If you need to cancel enrollment, please do so using the registration’s cancellation system.
Participants who complete the program will receive a letter of completion for their portfolio detailing the skills covered in their track.
Reach out to asteaching@nyu.edu with any questions.
FORC is a collaboration between NYU Data Services (NYU Libraries and IT), the GSAS Master’s College, and the Arts & Science Office of Teaching Excellence and Innovation.
The 2026 Summer FORC Camp showed the power of bringing people, disciplines, and expertise together around research computing. The program generated 559 expressions of interest and welcomed 188 attendees from across NYU - from computer science, engineering, mathematics, and data science to biology, psychology, public health, journalism, international relations, museum studies, business, and more. Across three days of immersive instruction, 73+ students successfully completed their tracks, while 71+ people attended the FORC keynote Public Data as a Public Good: Lessons from the Data Rescue Project, delivered by Lynda Kellam of the University of Pennsylvania Libraries and the Data Rescue Project.
This year's FORC went beyond learning individual tools. Students coded together, experimented with AI, analyzed and visualized data, discussed responsible research practices, and exchanged ideas across disciplines. Feedback highlighted the practical, hands-on learning, clear instruction, and collaborative experience, with students describing FORC as “collaborative,” “enriching,” “thought-provoking,” “skill building,” “informative,” and “amazing.” That same spirit was at the heart of the program - a partnership among NYU Data Services (NYU Libraries and NYU IT–TRAIL), the GSAS Master's College, and the Arts & Science Office of Teaching Excellence and Innovation, working together to build the data, computational, and AI skills essential to research across NYU.
Last but certainly not least, a heartfelt thank you to everyone who made Summer FORC 2026 possible! From our organizers, funders, leadership, instructors, and student consultants to the teams supporting technology, logistics, catering, photography, facilities, and everything behind the scenes - your dedication and care brought FORC to life. This success belongs to all of you, and we are deeply grateful!