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.

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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.

Participate

Interested in sharing your expertise with us? Check out our ongoing research studies with visualization, machine learning, and data science practitioners!

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Recent Publications

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