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.
SpaceHACK for Sustainability
SpaceHACK for Sustainability 2026 was a global two-day hackathon that brought together more than 500 students from around the world to develop data-driven solutions using satellite data in support of the United Nations Sustainable Development Goals. Hosted by the ASU Library Unit for Data Science and Analytics and supported by the W. P. Carey School of Business Center for Responsible Supply Chain Management, participants collaborated across institutions and countries to address challenges related to sustainable supply chains, coastal resilience, and climate change. The event showcased the power of international collaboration, innovation, and experiential learning, resulting in 66 team submissions and winning teams from Ecuador and the United States.
Watch the SpaceHACK for Sustainability 2026 Recap Video to see highlights of the international experience.
Building on the success of this year's event, SpaceHACK will return in 2027. Be on the lookout for future announcements and registration details as we prepare for another exciting opportunity to collaborate, innovate, and make an impact on global sustainability challenges.
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.
Banned Books Project: Student Research Showcase
Students who volunteered with our Banned Books Open Project during Summer and Fall 2026 will present their research findings during ASU Library’s Banned Books Week, October 5–11. Using real-world data and natural language processing, students explored patterns related to banned books, censorship, representation, and access to information across the United States. Join us as they share what they discovered and demonstrate how data science can help us better understand important social issues. Details to come!
Fall 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.
Aug 26 - Data Science and Analytics fall open lab kickoff
Registration closed
Aug 26 - Data Science and Analytics Open Project kickoff
at 10:30 a.m.
Registration closed
Sep 2 - Exploring the Human Experience: Qualitative Coding and Meaning-Making with Dedoose
Register today
Sep 23 - Panel: Exploring the Human and Environmental Dimensions of Artificial Intelligence
Register today
Sep 30 - How Machines Decide: Understanding Classification with Logistic Regression
Register today
Oct 7 - How Machines Decide: From Artificial Neurons to Deep Learning
Register today
Oct 28 - How Machines Understand Text: Foundations of Natural Language Processing
Register today
Nov 4 - How Machines Understand Text: How AI Generates and Retrieves Knowledge
Register today
Nov 18 - Finding Patterns: An Introduction to Cluster Analysis
Register today
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].