Science, examined.

Research integrity

Research integrity depends on evidence that people can inspect. We develop computational methods to identify patterns that deserve attention, measure uncertainty, and help researchers evaluate scientific work.

Peer review & discovery

Scientific knowledge is useful when people can find relevant work and evaluate it carefully. We study both the social processes of peer review and computational methods for navigating publications, figures, and research context.

Science of science

Science is made by people working within teams, institutions, and systems of recognition and support. We use publication records, mentorship networks, and computational methods to study how those systems relate to scientific activity.

Cognition & methods

The archive includes earlier work by lab members on cognition, learning, and computational methods. These studies provide context for questions about how people and models learn, evaluate evidence, and act under uncertainty.