Mia worked at Bruegel as a Research Analyst until August 2022. She studied International Economics (BSc) at University of Tuebingen, including one semester at the Università di Torino, and holds a Master’s degree in Economics from Lund University.
Before joining Bruegel Mia worked in the international development sector. As a Bluebook Trainee she worked at the European Commission’s Directorate-General for International Cooperation and Development and previously interned at the German development bank DEG, working on credit analysis and restructuring.
Her previous research focused on the impact of migration on economic growth and analyzed the effects of childcare policy on household bargaining. Her current research interests involve issues related to trade, labor markets and inequality.
Mia is a German native speaker, is fluent in English and has good working knowledge in French and Italian.
Policymakers should strengthen the role of social partners in the adoption of AI technology to protect workers’ bargaining power.
To improve wellbeing at work, job quality policy should pay more attention to imbalances in job content and the social environment at work.
Skills, data and financing shortcomings constrain artificial-intelligence innovation in Europe.
To accelerate the roll-out of AI technology across the European Union, policymakers should alleviate constraints to adoption faced by firms.
We define biometric technologies as AI technologies that rely on biometric data to derive inferences about the individual whose data is collected.
Study for the German Federal Foreign Office produced by Bruegel, the Kiel Institute for the World Economy and DIW Berlin.
The pandemic has disproportionately affected women both professionally and at home. Although the gender gap in labour force participation since the on
Testimony before the European Parliament's Committee on Economic and Monetary Affairs (ECON) on the consequences of the pandemic on women.
How the G20 can support the recovery with sustainable local infrastructure investment.
Employers and artificial intelligence developers should ensure new technologies work for workers by making them trustworthy, easy to use and valuable
Measures in major economies have protected companies from COVID-19 related insolvency, but have also protected weak firms. Nevertheless, support shoul