Data Management and Analytics

Data Quality and Semantic Data Integration

Exploring data defect detection, semantic integration, and scalable, distributed, and visual methods for managing heterogeneous data.

Visual Analytics for Data and Computational Systems

Designing interactive visual approaches to reveal patterns, anomalies, relationships, and consequences in complex data and computational systems for for informed decision-making.

Computing Education

Educational Interventions and Technologies for K–12 Computing Education

Creating and assessing pedagogically-based interventions or technologies for teaching and learning computing in K–12 education.

Learning Analytics and Educational Data Science

Using diverse data sources and forms to model, observe, interpret, and comprehend learning processes.