Image Credit: NYU Data Services

It’s that time of the year again! With the buzz of the new semester we bring you our regularly scheduled tutorials happening all of September and October! Whether you’re looking to brush up on your python skills, or learn a new tool, we have the right workshops for you. Some tutorials of note are: 

Be sure to check out our site for more workshops! Registration is required. 

Image Credit: NYU Dibner Library

Following the tradition from past years, this fall we’re bringing back Datapalooza at Dibner Library with double the fun! Datapalooza will be a two week long event at Dibner starting on September 8th and will feature everyone’s favorite Machine Learning Clinic, an introduction on how to use APIs, an ArcGIS Pro tutorial at the Dibner Lab, and so much more! Be sure to keep an eye out on the Dibner Library Calendar for all events and information.

Image Credit: NYU Data Services

If you’ve ever dreamed of owning a piece of exclusive Data Services merch, we’re here to make that dream come true! The Data Services Mug Club rewards data die-hards who have attended three Data Services workshops in a single semester (one of those sessions must be in person). Please see our website for further details!

Our rapidly evolving information ecosystem demands that all researchers review and adjust their research methods in response to questions such as: How do we find, trace, and use citations in the era of AI hallucinations? To what and whom do we grant authority in a time marked by mis- and disinformation from figures and institutions previously regarded as relatively reliable? How might the particularities of the current publication landscape (ranging from the use of published scholarly writing to train language learning models to an increasing emphasis on open access) shape how and for whom we write?   

The Let’s Get Critical: Art and Humanities Research Day graduate student lightning talks present Masters and Doctoral students in the arts and humanities at NYU with an opportunity to engage with these and similar questions in relation to their own work. This event also gives grad students an opportunity to actively contribute to interdisciplinary discussions about research methods in the current information landscape. 

Applications are due by September 30th. Please see the website for more details.

Attention NYU Tandon students!

Applications for our Fall 2026 Data Science & LeetCode Bootcamps are now open!

The NYU Tandon Data Science and LeetCode Bootcamps are intensive, instructor-led, 9-week virtual programs designed to help Tandon students prepare for technical interviews in data science and software engineering roles, respectively. The Bootcamps aim to enhance students' proficiency in relevant technical skills, problem-solving, and communication under pressure, which are crucial for technical assessments and live-coding interviews.

The Bootcamps are exclusively open to current NYU Tandon students & students can participate in one Bootcamp at a time.

Want to learn more? Attend our Fall 2026 Technical Bootcamp Info Sessions:

9/4 at 3:00PM ET (virtual)

9/10 at 1:00PM ET in 2MTC (in person)

Ready to apply? Complete these by September 13th: 

Data Science application

LeetCode application

NYU Data Services will be transitioning to Single Sign-On (SSO) for ArcGIS Online and ArcGIS Pro early in the Fall semester to enhance account security and streamline the login experience. Moving away from traditional username-based logins, this update will allow you to sign into ArcGIS using your standard NYU NetID credentials. You should be prepared to see a new sign-in screen when accessing ArcGIS tools following the transition date. If you encounter any issues or have questions about navigating the new login process, please reach out to the Data Services team at data.services@nyu.edu for assistance. 

Join NYU Libraries for this workshop that offers an introduction to network analysis for humanities scholars. Network analysis is a popular digital humanities method for mapping entities (such as people, places, or concepts) and the relationships between them. In addition to revealing patterns in your data, it can be used in public-facing scholarship such as exhibits and interactive websites.

For more information and to register, visit the event website. 

Photo credit: Jorge Corona, The NYU Production Lab

The 2026 Summer FORC Camp showed the power of bringing people, disciplines, and expertise together around research computing. NYU Data Services, in collaboration with the GSAS Master's College and the Arts & Science Office of Teaching Excellence and Innovation, welcomed 188 graduate students from across NYU - from computer science, engineering, mathematics, and data science to biology, psychology, public health, journalism, international relations, museum studies, business, and more.

Photo Credit: NYU Data Services

Our annual three-day, hands-on program featured five different tracks or themes that went beyond learning individual tools. Students coded together, experimented with AI, analyzed and visualized data, discussed responsible research practices, and exchanged ideas across disciplines. To top it all off, our keynote address, 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, hit home the value of our public data, conveyed the range of access challenges all kinds of data users are experiencing, and the trajectory of grassroot efforts to maintain discoverability and access to the material.
Last but certainly not least, a heartfelt thank you to everyone who made Summer FORC 2026 possible! We are deeply grateful and look forward to doing it all again next year!

UltraViolet is part of a suite of repositories at NYU that provide a home for research materials. Data Services helps NYU researchers prepare their materials for deposit in UltraViolet to facilitate open access and long-term preservation.

We often feature data in this column, but we preserve many different kinds of computational scholarship–some new and some old. This month, we’re excited to feature the MODIYA Project - Jews/Media/Religion website, an archival version of an educational website created by a group of scholars at Center for Religion and Media at New York University back in 2005. The site was built using technology that was cutting-edge at the time but is now difficult to maintain. Because the creators are no longer actively adding content to the site, they decided to preserve the project rather than updating its technology stack. Luckily, in partnership with our colleagues in Digital Library Technology Services (DLTS), we developed a previewer for web archive files for UltraViolet. Now you can go to MODIYA’s record in our repository and browse the website as it once looked on the live web! And if you are also looking to preserve an older web-based scholarly project, please consider UltraViolet. 

SimplyAnalytics is a web-based mapping, analytics and data visualization program providing data variables. NYU users have access to demographics, marketing data, consumer behavior (purchasing and product usage data), market segments, Nielsen Scarborough, health, and business points for States, Congressional Districts, Counties, Cities/Places, ZIP Codes, Census Tracts and Block Groups. You can also export data, maps, reports, and shapefiles for use outside of SimplyAnalytics. Pro tip: use your NYU credentials to setup an account so you can save your work in platform.

We are excited to celebrate one of our own team members, Michelle Thompson Gumbs, who co-authored the new book Graduate Students in Data Science Consulting: A Blueprint for Success, published by CRC Press in May 2026.The book provides a practical framework for higher education institutions looking to develop or strengthen student-led data science consulting programs. It offers guidance on creating structured student employment experiences that provide meaningful professional development while also supporting the needs of the institution.

Data Services invites colleagues and others interested in student-led data science consulting to explore the book and learn more about how intentional student employment models can strengthen academic services while empowering the next generation of data professionals.

Photo Credit: Natiq Khan

Q. What's your name, program, and year?
A. Natiq Khan, Master of Science in Data Science, Class of 2027

Q. What's your service area at Data Services and how long have you worked here?
A.Student Specialist for Python and Git, joined in Summer 2026

Q. What do you like most about working at Data Services?
A. Getting to interact with patrons from all over NYU, each applying data science to their own unique fields. You get to experience the complete gamut of research being done at NYU. 

Q. Describe your favorite data-related project that you've worked on.
A. For one of my projects, I collected a dataset of RateMyProfessor ratings and reviews for professors and used that to analyze what makes a professor more likely to get a higher rating. There were a lot of surprises. In terms of Data Services projects, I've been assisting in content creation for workshops such as the upcoming Machine Learning Clinic and Digging Deeper with Deep Learning at Dibner Library! 

Q. What's your favorite place to get a meal or a snack near Bobst Library?
A. Butter Smashburgers. They're right around the corner, a 5 minute walk from Bobst and they're pretty quick. Definitely try their house cheeseburger!

Thanks for reading! We hope to see you soon on the 5th floor at Bobst, at Dibner Library, or online.

- Your friends at Data Services