Laura Nurski is a Research Expert at the Centre of Expertise for Labour Market Monitoring at the Faculty of Business and Economics of KU Leuven. She leads the development of an integrated labour market prediction model that identifies future skill needs in the Flemish labour market.
Laura is currently a non-resident Fellow at Bruegel. While residing at Bruegel in the past, she led 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. As a former data scientist in the financial and retail sector, Laura is passionate about data and technology. 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.
Disclaimer of external interests
Artificial intelligence adoption in the public sector: a case study
This case study illustrates the drivers of and barriers to AI adoption by organisations, and acceptance of AI by workers in the public sector.
Uptake and inequality of telework dashboard
A dashboard that monitors the uptake and inequality of telework in the EU across countries, years, occupations and socio-demographic groups.
Up and ahead: skills for a more resilient EU workforce
How can we equip people with the skills they need to adapt to a rapidly changing labour market?
Understanding barriers and resistance to training in the European Union
People with less education are also less able and willing to participate in training; understanding why is essential to prevent a widening skill gap.
Beyond the training gap: learning foundational skills on the job
Low-skilled workers tend to have jobs that are less likely to foster foundational skills. This worsens skills gaps and income inequality.
Risks to job quality from digital technologies: are industrial relations in Europe ready for the challenge?
The paper extends the debate about the future of work beyond employment and pay, to a consideration of job quality more broadly.
Cross-border telework in the EU: fab or fad?
Europe should investigate the possibility of ‘digital frontier worker’ status for cross-border remote workers.
Bruegel Annual Meetings, 6-7 September 2022
The Annual Meetings are Bruegel's flagship event which gathers high-level speakers to discuss the economic topics that affect Europe and the world.
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.
Future of Work and Inclusive Growth Annual Conference 2022
First Annual Conference of the Future of Work and Inclusive Growth project
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.
COVID-19 and the shift to working from home: differences between the US and the EU
What changes has working from home brought on for workers and societies, and how can policy catch up?
Future of work and inclusive growth: Digital dialogues
An end of year series of digital discussions on the Future of Work and Inclusive Growth in Europe.
The triple constraint on artificial-intelligence advancement in Europe
Skills, data and financing shortcomings constrain artificial-intelligence innovation in Europe.
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.
A hybrid future of work
Addressing employers’ and employees’ challenges.
Designing a hybrid work organisation
Post-pandemic hybrid work models should be carefully planned, taking into account individual and organisational needs.
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
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.
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 ri