The Data Science Lab welcomes students, staff and faculty of all disciplines and levels to collaborate on common projects. We host regular workshops and open lab sessions to provide mentorship, hands on exercises and networking opportunities to help you learn and use data science as a way to solve real-world problems.
Lab and workshop sessions
Our open labs provide an opportunity to understand concepts and develop skills in data science.
If you are not on our mailing list, please email [email protected] to request to be added to receive information on upcoming events and the links to the sessions.
SpaceHACK for Sustainability
Registration is Now Open
March 27-28, 2026
SpaceHACK for Sustainability returns for another exciting global hackathon. This two-day event brings students together to tackle real-world sustainability challenges using satellite data.
Sponsored by W. P. Carey’s Center for Responsible Supply Chain Management in the NASPO Department of Supply Chain Management, SpaceHACK connects students across disciplines and universities for collaboration, innovation, and impact.
No prior satellite data experience is required. In-person and virtual participation options are available.
Spots are limited. Register today.
In-person and virtual participation options are available.
Visit the SpaceHACK website for details, partners, schedule, and registration.
2026 Challenge Tracks
Students will choose from three sustainability-focused tracks:
- From Port to Planet: Tracking the Net-Zero Supply Chain
- Nature’s Flood Wall: Mangroves and Coastal City
- Truth from Orbit: Climate Change and the Alpine Information Battle
Whether your interests lie in sustainability, logistics, climate science, social impact, or data storytelling, SpaceHACK offers a collaborative space to learn and make a difference.
Spring 2026 virtual labs
The series will be a set of virtual instructional and participatory events to inform on various and necessary key skills in data science.
Open labs meet on the following Wednesdays at 10 a.m.
Jan 21 - Data Science and Analytics spring kickoff
Registration closed
Feb 4 - AI literacy in practice: Understanding systems, assumptions and impact
Registration closed
Feb 11 - AI engineering: Building applications with foundation
models
Registration closed
Feb 18 - Don't break the timeline: An intro to time series forecasting
Register to attend
Feb 25 - Integrating AI into academic research responsibility
Register to attend
March 11 - Telling your data's story: Data visualization 101 with Python
Register to attend
March 18 - Working with satellite data: An intro to Google Earth Engine
Register to attend
April 1 - Querying databases: An intro to SQL Part 1
Register to attend
April 8 - Querying databases: An intro to SQL Part 2
Register to attend
Self-paced volunteer projects
Chest x-ray image classifier - Classify chest x-ray images into those with pneumonia and those without pneumonia
Keywords: Image processing, neural networks, Tensorflow
Mortality prediction in medical data - Attempt to outperform us at predicting mortality in medical data
Keywords: Medical data, machine learning, performance evaluation
Homelessness clustering - Execute various clustering algorithms on service activity of homeless people in Maricopa County, AZ
Keywords: Unsupervised learning, clustering algorithms, real-world data
Email [email protected] to request the resources and recordings for one or more of the volunteer projects.
Recorded workshops
Programming mini workshops
Learn some of the basics of data science in our virtual mini workshops. We will show you how to import data, build models and interpret results using multiple techniques in the R and Python programming language.
R basics: Intro to programming in the R coding language
Python basics: Intro to programming in the Python coding language
Email [email protected] to request the recording(s).
Data Visualization Tableau workshop
The summer 2022 virtual workshop, we completed hands-on training in the basics of visualizing data with Tableau, from making charts to composing dashboards. No previous experience required, but you need your own laptop.
Email [email protected] to request the recording.
Faculty, staff and students interested in an ongoing project, new collaboration or learning more may contact [email protected].