乐鱼后台

Sofie de Wilde de Ligny MA

Sofie de Wilde de Ligny MA

PhD Candidate
Innovation Studies
s.e.dewildedeligny@uu.nl

Sofie de Wilde de Ligny is a PhD candidate at the Innovation Studies group of the Copernicus Institute of Sustainable Development, Faculty of Geosciences. 

Her research within the project explores business-to-government data sharing, focusing on national statistical offices in the EU. She examines regulatory and non-regulatory pressures to access business data, and the inherent tensions in these practices, and aims to address data asymmetries and the use of business data for decision-making on societal challenges. 

Sofie holds an MA in New Media and Digital Culture and has worked as a junior researcher at the research platforms Data School and Datawerkplaats at Utrecht University, studying the embedding of technology and responsible data practices in governmental institutions and platform infrastructures and their business models. 

 

PhD Research

Business-to-government data sharing for official statistics (B2G4S) 

This PhD research investigates how access to business data for official statistics is being institutionalized in the EU and what the outcomes are of the use of this data for the production of official statistics and ultimately for government decision-making on societal challenges

 

Additional projects

Data purchasing by governments in the context of societal challenges: A mapping study

This project is the first systematic effort to create an evidence base about when, how, for what purposes, and with what implications the Dutch (local) authorities resort to purchasing data from the private sector to make evidence-based decisions addressing societal challenges.

Datawerkplaats doet onderzoek naar de uitdagingen en kansen bij het ontwikkelen, implementeren en gebruiken van large language models in het openbaar bestuur in Nederland. 

This project involves a five-year research on the notorious radical free speech service and fringe platform Gab. During these years we scraped an entire platform, prepared it into a dataset for analysis, and opened it up to a broader community of students and researchers.