Fifteen projects. How regulation learns.
Each doctoral project investigates a distinct question within a shared programme: how can institutions learn more effectively in the governance of transformative technologies?
Anticipation & foresight
How can regulators recognise emerging problems early?
We examine how authorities read policy portfolios, hear signals from outside established institutions and anticipate the effects of transformative technologies. The projects develop ways to recognise a mismatch between rules and practice before it becomes a crisis.
Building Problem Sensing Capacities Through Portfolio Analysis
Learn to read national AI policy portfolios as early-warning systems for regulators.
St. Gallen, SwitzerlandDC02
Between Flexibility and Fixity: Supervisory Authority and Power Shifts in AI Governance
Map how flexible rules shift power and predictability among those who govern AI.
Lund, SwedenDC03
Outside-In Signals: Outsider Innovation as Foresight Infrastructure
Turn the early insights of outsider innovators into an early-warning system for regulators.
Oslo, Norway
Tools & interventions
How can regulatory interventions become opportunities to learn?
We study how research exemptions, procurement, software prototypes and AI literacy can generate useful evidence. The aim is to understand when an intervention supports adaptation, and how to avoid both overreaction and inaction.
Research Exemptions and Feedback Loops in AI Governance
Make research exemptions work as evidence pipelines for regulatory learning.
Amsterdam, NetherlandsDC05
Procurement for Foresight: Regulatory Learning in Quantum and Cybersecurity
Use public procurement as a deliberate learning instrument in quantum and cybersecurity.
Munich, GermanyDC06
Prototyping the Rule: Software Engineering for Regulatory Learning
Prototype rules the way engineers prototype software, before they become law.
Maastricht, NetherlandsDC07
Enhancing Absorptive Capacity: AI Literacy Interventions for Regulatory Learning
Measure how AI literacy builds the absorptive capacity regulators need to learn.
St. Gallen, Switzerland
Institutional capacity
What enables institutions to turn evidence into action?
We investigate the capabilities, working practices and resources that make regulatory learning possible. Design methods, work inside public bodies and the retirement of obsolete rules help explain how individual insights become an organisation’s capacity to respond.
Unlearning Obsolete Rules: Designing for Sunset and Regulatory Delearning
Define when and how regulators should retire rules that no longer serve their purpose.
Oslo, NorwayDC09
Design-Driven Institutional Reframing for Anticipatory Governance
Redesign the imaginaries that decide what institutions can learn.
Milan, ItalyDC10
Frugal Regulation: Learning Loops for Low Resource Regulators
Design low-cost learning loops that let low-resource regulators keep pace with high-tech innovation.
Bucharest, RomaniaDC11
Street-level Bureaucracy of Regulatory Implementation for AI
Follow EU digital rules to the desks of the SME developers who implement them.
Copenhagen, Denmark
Feedback & shared learning
How can lessons travel beyond a single experiment?
We examine how evidence is preserved, shared and challenged across regulatory cycles and jurisdictions. The projects address institutional memory, coordination between authorities, systemic actors and the accountability safeguards needed when rules adapt.
Enforcement Overlap and Multi-Authority Coordination in EU Digital Governance
Turn overlapping enforcement competences into a constructive source of learning.
Lisbon, PortugalDC13
Evidence Stewardship and Regulatory Memory for Adaptive Governance
Build the institutional memory that keeps regulatory lessons from being lost.
Munich, GermanyDC14
Systemic Actors and the Enforcement of Digital Rules
Understand how regulators learn to enforce digital rules against systemic actors.
Amsterdam, NetherlandsDC15
The Legitimacy Paradox: Anti-Capture Mechanisms in Adaptive Regulation
Keep adaptive, experiment-driven governance legitimate and resistant to capture.
Munich, Germany