We apply quantitative, qualitative and experimental methodologies, leveraging data science tools to analyze digital phenomena. By combining empirical data with legal and social science frameworks, our research provides robust evidence to inform technology regulation and public policy.
We examine how generative AI, algorithmic amplification, and automated manipulation affect the integrity of information ecosystems and fuel the spread of information disorder.
We analyze the risks tied to digital sovereignty. This includes researching the security and social impacts of critical infrastructure control.
We evaluate policy responses to emerging digital technologies. This includes translating technical vulnerabilities into empirical data to help shape policies and regulation, with a focus on comparative legal frameworks.