Questions are
our starting point.
We connect academic inquiry with practical work in computing and design. Our research interests guide what we explore, how we test ideas and what we build.
AI & language models
How can intelligent systems be made useful in specific, demanding contexts? Our interests include model development and adaptation, evaluation methods, and the relationship between model outputs and the evidence behind them.
Applied computing
Software makes an idea observable. We are interested in research tools, experimental prototypes and systems that turn a question into something that can be examined and tested.
Design & communication
Clarity is a design problem as well as a technical one. We explore how typography, graphics and interfaces shape the way people interpret information and work with complex systems.
The method matters.
Frame the question
Define the problem, assumptions and the evidence needed to make progress.
Design the investigation
Choose methods and evaluation criteria that fit the question.
Examine the results
Test the findings, record limitations and distinguish evidence from interpretation.
Share what matters
Document the work clearly so its reasoning and outcomes can be assessed.