Six directions, one test: useful and verifiable

Fundamental and applied research in digital fields, together with experimental development: from framing the question to a prototype that can be tested. Results, including negative ones, are documented and may be published.

Assessing AI-based systems beyond raw performance: what data they use, who they can disadvantage, how explainable their decisions are, and what happens when they get it wrong.

Support for organisations digitalising their work: from analysing the actual need through to software solutions, automation and integration with existing systems.

Materials and activities that make digital technology intelligible without simplifying it into something false — for students, professionals retraining, and anyone interested.

The conditions without which digitalisation does not hold: systems that withstand attack, that can exchange data with each other, and that are governed by clear, verifiable rules.

Research results have no effect unless they reach someone who can use them. We build consortia, take part in national and international projects, and help transfer results into real use.