Promovendus voor het project “Lerende Aanpak Vitaal Limburg”
Core
Developing and implementing a structured learning approach for the Regio Deals in Limburg province to address complex societal challenges through data-driven monitoring and policy improvement.
Role type
PhD researcher (social sciences/public policy)
Builds
Data-driven monitoring systems, DOELWIT diagrams, and open-source software tools for government learning.
Domain
Public administration, social sciences, policy analysis
Required skills
Qualitative data analysis, system thinking, open science practices, R programming, stakeholder engagement, policy implementation
Preferred skills
Experience with ABCDs, open source software development, preprint publication
Technologies
R, DOELWIT method, Reproducible Open Coding Kit
Responsibilities
Establish learning structures with key stakeholders, guide professionals in defining layered definition landscapes and creating DOELWIT diagrams, document processes via field notes and recordings, develop conceptual instruments for government learning, implement open science principles.
Seniority
PhD candidate, 4-year project