TAIMI

Technological Transformation, AI and Migrant Skills in the Finnish Labour Market

The Consortium

TAIMI is implemented by a multidisciplinary consortium bringing together leading Finnish universities and research institutions with complementary expertise in migration, working life research, artificial intelligence, organizational studies, sociology, psychology, and public policy.

The consortium includes Aalto University, Hanken School of Economics, the University of Helsinki, the University of Jyväskylä, LUT University, and VTT Technical Research Centre of Finland. Together, these institutions combine strong academic excellence with practical experience in policy engagement, technological innovation, and stakeholder collaboration.

The project is coordinated by Professor Niina Nurmi (Aalto University), whose research focuses on global work, multicultural collaboration, and organizational transformation. Each work package is led by a senior scholar with internationally recognized expertise in their field, ensuring both scientific depth and strong sectoral relevance.

The consortium integrates qualitative, quantitative, participatory, and AI-based research methods. Systems thinking guides collaboration across disciplines and work packages, enabling the project to examine technological transformation, migrant integration, and DEI from multiple interconnected perspectives.

Beyond academia, TAIMI works closely with a broad network of public, private, and third-sector partners, including municipalities, employers, trade unions, NGOs, and migrant organizations. These partners contribute to the co-creation, piloting, and real-world implementation of tools and policy recommendations.

Through this combination of multidisciplinary research expertise and strong societal partnerships, the TAIMI consortium is well positioned to generate impactful, scalable solutions for an inclusive and sustainable future of work in Finland.

Work Packages

WP 1

WP1 examines how AI, automation, and algorithmic management are reshaping work, skills, and employment relations in migrant-dense sectors, with a focus on care and on-demand transport.

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WP 2

WP2 investigates how digitalization and AI affect migrant workers’ integration, adaptability, and long-term retention in the IT and healthcare sectors.

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WP 3

WP3 explores how Diversity, Equity, and Inclusion are understood and enacted in daily work, analyzing skill recognition, intersectional experiences, and inclusion gaps in care and IT workplaces.

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WP 4

WP4 examines how DEI can be developed and scaled as a learnable skill across individual, organizational, and societal levels in hybrid and AI-mediated work environments.

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WP 5

WP5 investigates how ethically designed, human-centric AI can support migrant workers’ inclusion, well-being, and skills development in the manufacturing sector.

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