Scholars

Laura Nurski

Research fellow

Expertise: Future of work and inclusive growth

Laura Nurski leads the Future of Work and Inclusive Growth project which analyses the impact of technology on the nature, quantity and quality of work, welfare systems and inclusive growth.

Before joining Bruegel, she investigated the impact of job design and organisation design on wellbeing and productivity at work. This inherently multidisciplinary domain has left her with a broad social science background, encompassing psychology, sociology and economics.

Laura is passionate about data and technology. As a former data scientist in the financial and retail sector, she developed machine learning models and big data analytics. She is also a skilled statistical programmer, survey developer and open-source aficionado.

Laura holds a Ph.D. in Industrial Organization, a M.Sc. in Economics and a M.A. in Business Engineering from KU Leuven.

Declaration of interests 2020-2021

Contact information

[email protected]

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Policy Contribution

Inclusive growth

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 – like high workloads and low autonomy – and not just working conditions. Outcomes of low-quality jobs, such as burnout, need to be monitored at the European level.

By: Mia Hoffmann and Laura Nurski Topic: Inclusive growth Date: May 5, 2022
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Blog Post

Inclusive growth

The triple constraint on artificial-intelligence advancement in Europe

Skills, data and financing shortcomings constrain artificial-intelligence innovation in Europe.

By: Mia Hoffmann and Laura Nurski Topic: Digital economy and innovation, Inclusive growth Date: December 6, 2021
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Policy Contribution

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, both in the environmental context and in the technological context.

By: Mia Hoffmann and Laura Nurski Topic: Digital economy and innovation Date: November 30, 2021
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Blog Post

Inclusive growth

Designing a hybrid work organisation

Post-pandemic hybrid work models should be carefully planned, taking into account individual and organisational needs.

By: Laura Nurski Topic: Digital economy and innovation, Inclusive growth Date: July 5, 2021
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Blog Post

Inclusive growth

Workers can unlock the artificial intelligence revolution

Employers and artificial intelligence developers should ensure new technologies work for workers by making them trustworthy, easy to use and valuable in day-to-day work.

By: Mia Hoffmann and Laura Nurski Topic: Inclusive growth Date: June 30, 2021
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Policy Contribution

Inclusive growth

Blending the physical and virtual: a hybrid model for the future of work

The pandemic has shown that many workers can efficiently work remotely, with benefits for wellbeing and even productivity. The European Union should develop a framework to facilitate hybrid work.

By: Monika Grzegorczyk, Mario Mariniello, Laura Nurski and Tom Schraepen Topic: Digital economy and innovation, Inclusive growth Date: June 9, 2021
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Blog Post

Inclusive growth

Algorithmic management is the past, not the future of work

Algorithmic management is the twenty-first century’s scientific management. Job quality measures should be included explicitly in health and safety risk assessments for workplace artificial-intelligence systems.

By: Laura Nurski Topic: Digital economy and innovation, Inclusive growth Date: May 6, 2021