Algorithmic management and mental health

I want to understand why the same rule at work can weigh differently on people’s lives.

TRAMA brings this question to algorithmic management: the systems that take part in decisions about work. A score can influence an appraisal without recording how difficult the task was. A schedule can change quickly, while the arrangements made around it remain in place.

The programme examines how these experiences relate to mental health, taking an intersectional perspective.

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An intersectional perspective

Working conditions are experienced from different social and occupational positions. Gender, sexuality, racialisation, migration and occupational class intersect with employment arrangements, material resources and responsibilities outside work. These relationships shape the questions TRAMA asks about mental health.

Studies of different groups and settings contribute to an ongoing programme on inequalities at work.

The IOH Framework offers a conceptual account of the relationship between social positions and occupational health. TRAMA brings that discussion to decisions involving algorithmic systems.

Read about the IOH Framework

Research team

I lead TRAMA, with Henrique Pereira as scientific supervisor and a member of the research team.

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On the TRAMA website, articles start from working situations to explain what a performance score leaves out or why a decision can be difficult to correct.

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