Mia Hoffmann
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.
Featured work
European Union countries’ recovery and resilience plans
Artificial intelligence and job quality
A timely discussion about the role AI plays in job quality
The impact of artificial intelligence on the nature and quality of jobs
Policymakers should strengthen the role of social partners in the adoption of AI technology to protect workers’ bargaining power.
Beating burnout: identifying bad jobs and improving job quality
To improve wellbeing at work, job quality policy should pay more attention to imbalances in job content and the social environment at work.
All work
Dataset
20 February 2023
Podcast
27 July 2022
Artificial intelligence and job quality
A timely discussion about the role AI plays in job quality
Working paper
26 July 2022
The impact of artificial intelligence on the nature and quality of jobs
Policymakers should strengthen the role of social partners in the adoption of AI technology to protect workers’ bargaining power.
Policy Brief
05 May 2022
Beating burnout: identifying bad jobs and improving job quality
To improve wellbeing at work, job quality policy should pay more attention to imbalances in job content and the social environment at work.
Blog post
06 December 2021
The triple constraint on artificial-intelligence advancement in Europe
Skills, data and financing shortcomings constrain artificial-intelligence innovation in Europe.
Policy Brief
30 November 2021
What is holding back artificial intelligence adoption in Europe?
To accelerate the roll-out of AI technology across the European Union, policymakers should alleviate constraints to adoption faced by firms.
Policy Brief
17 November 2021
Biometric technologies at work: a proposed use-based taxonomy
We define biometric technologies as AI technologies that rely on biometric data to derive inferences about the individual whose data is collected.
Book
12 November 2021
Instruments of a strategic foreign economic policy
Study for the German Federal Foreign Office produced by Bruegel, the Kiel Institute for the World Economy and DIW Berlin.
Blog post
03 November 2021
The socioeconomic effects of COVID-19 on women
The pandemic has disproportionately affected women both professionally and at home. Although the gender gap in labour force participation since the on
News
27 October 2021
Understanding the socioeconomic effects of the COVID-19 pandemic on women
Testimony before the European Parliament's Committee on Economic and Monetary Affairs (ECON) on the consequences of the pandemic on women.