Co-director of the AI-Econ Lab. For over a decade worked with longitudinal register data for Swedish firms and workers, studying structural changes and technological adoption.

Co-directs the AI-Econ Lab. Works on trade, trade policy and technology issues, focusing on the interaction between trade policy, technology and labour market adjustments.

Most recently worked as an analyst at Growth Analysis, analysing and reporting on trade, innovation policy, venture capital, entrepreneurship and evaluations of public support to enterprises.

Analysed the impact of AI on wages, the hiring process of organisations using field experiments, and the role of economic uncertainty on unemployment flows.

Professor and head of the research area 'Global Division of Labour' at the Kiel Institute for the World Economy, and a fellow at the Institute for the Study of Labour (IZA) in Bonn.

PhD in economics from Aarhus University, studying AI wage premia, automation and skill changes, and AI and hiring.

Research focuses on inference for stochastic models and modern machine learning approaches, applied across various domains.

Background in software engineering for agent-based systems, primarily related to simulation. Taught computer science for almost a decade. Board member of EURAMAS.

Theoretical and empirical research in international economics and labour economics, investigating the impact of globalisation and automation on individual workers and firm performance.

Professor of Econometrics. Interests in causal machine learning and optimal decision making (policy learning). Most applied work in labour and sports economics.

PhD in Economics from the Stockholm School of Economics. Research focuses on household and labour economics, using both reduced-form empirical methods and structural modelling.

PhD in Information Technology (2015). Research interest in machine learning, deep learning and representation learning from raw sensory data.

Previously worked at Bloomberg and the Riksbank; studied at Lund University and the Stockholm School of Economics.

Labour economist with extensive experience analysing labour earnings and work organisation, with publications in top journals including Labour Economics.

Research focuses on labour economics and international trade, studying transformations in the nature of work driven by technological change and globalisation.

Research at the intersection of international trade and labour economics, with a current focus on the effects of globalisation on labour market outcomes.

Research focuses on labour economics, particularly the labour market effects of technological change and mass layoffs, as well as urban economics.

Doctoral candidate studying AI, exploring technology adoption, firm strategies, market structure and labour market outcomes using economic modelling, econometrics and machine learning.

Research focuses on digital government and how digitalisation in public administration can be assessed, understood and developed, particularly in core government processes.

Builds and maintains the lab's public data tools, including the DAIOE Explorer and the AI in Demand monitor pipeline.

Expertise in artificial intelligence, cognitive science (specialising in visuospatial cognition) and human-computer interaction.

Vice CEO at the Ratio Institute and a visiting fellow at the Oxford Institute for Energy Studies.

Holds a PhD in AI; previously a general manager at Microsoft.

Expertise includes the development, assessment and governance of emerging mobility technologies.

Expertise in constraint-based reasoning and automated planning and scheduling.

PhD in mathematical statistics, with data scientist experience.

Expertise in perception algorithms and reinforcement learning for manipulation.

Co-investigator in projects on technology and trade.

Full professor of Public Law, focusing on the legal implications of artificial intelligence.

PhD in economic geography, with interests in technological and economic change.