CMU Data Interaction Group
We are a research group at the Human-Computer Interaction Institute at Carnegie Mellon University. Our mission is to empower everyone to analyze and communicate data with interactive systems.
Learn more about our group
Research Areas
Our group conducts research in computer science at the intersection of human-computer interaction, machine learning, data science, programming languages, and data management.
Visualization
Visualization leverages human perception to make (potentially large) data accessible. We are developing new languages and tools for analysis and communication.
Human-Centered Data Science
While computers can help us manage data, human judgment and domain expertise is what turns it into understanding. Meeting the challenges of increasingly large and complex data requires methods that richly integrate the capabilities of both people and machines.
Interpretable Machine Learning
Machine learning allows data scientists to summarize, aggregate, and make predictions about their data. But computers don't explain their predictions, which limits interpretability and actionable insights. We create techniques and systems that make models and their decisions understandable.
Design for Machine Learning
To create ML-based applications, we need to understand and design for everyone involved in the development process—the engineers who build the models, the designers who create the experiences, and the people who use the products.
News
- DIG Lab at VIS 2024
- DIG Lab at VIS 2023
- DIG Lab at CSCW 2023
- Workshop: Tactile Graphics Tech and Media
- DIG Lab at VIS 2022
Courses
- Data Visualization Fall 2024
- Programming Usable Interfaces Fall 2024
- Data Science for Product Managers Spring 2023
- HCI for Product Managers Spring 2023
- Data Visualization Fall 2022