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.
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.
Summer 2026 open project kickoff
July 15, 2026 at 10 a.m.
Interested in using data science to explore real-world social issues? Join us for the Summer 2026 In-Person Project Kickoff and learn how data science and natural language processing (NLP) can be applied to examine banned books, censorship, representation, and access to information across the United States.
Participants will work with real-world datasets to identify patterns, analyze language, and investigate the factors that influence book challenges and bans. No matter your academic background or experience level, this project offers an opportunity to develop practical data analysis skills while contributing to meaningful conversations about intellectual freedom and information access.
Students will also have the opportunity to share their findings during ASU Library's Banned Books Week programming. Come meet the project team, learn about the project goals, and discover how you can get involved in this collaborative and impactful research experience.
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
Register today
Aug 26 - Data Science and Analytics Open Project kickoff
at 10:30 a.m.
Register today
Sep 2 - Exploring the Human Experience: Qualitative Coding and Meaning-Making with Dedoose
Register today
Sep 18 - TBA
Register soon
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].