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HealthDeterminants

Financiado

Investigating the Impact of Risk of Automation on Health Outcomes of Employees:...

Investigating the Impact of Risk of Automation on Health Outcomes of Employees: Evidence from Germany The proposed research project aims at contributing to the literature on work-related determinants of health, and innovates previous studies by investigating the impact of risk of automation (proxied by a percentage of routine task... ver más

30/09/2025

MPG

174K€

Presupuesto del proyecto: 174K€

Líder del proyecto

MAXPLANCKGESELLSCHAFT ZUR FORDERUNG DER WISSE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-03-15

HORIZON-MSCA-2022-PF-01-01: MSCA Postdoctoral Fellowships 2022 ExpectedOutcome:

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Cerrada hace 2 años

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Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

1 Participantes

MPG

173.85K€ | Lider

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Duración del proyecto: 30 meses Fecha Inicio: 2023-03-15
Fecha Fin: 2025-09-30

Líder del proyecto

MAXPLANCKGESELLSCHAFT ZUR FORDERUNG DER WISSE... No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 174K€

Descripción del proyecto The proposed research project aims at contributing to the literature on work-related determinants of health, and innovates previous studies by investigating the impact of risk of automation (proxied by a percentage of routine tasks in the occupation) on both subjective and objective measures of health of employees. By merging survey data from the German Socio-Economic Panel (GSOEP) with expert data from BERUFENET and adopting the methodology proposed by Dengler et al. (2014), the project addresses the following research questions: i) to which extend does risk of automation affect health outcomes of German employees; ii) what are possible transmission mechanisms behind the health differences of German employees related to risk of automation; iii) is selection into occupations at a higher risk of automation determined by a health status of individuals. The project will have a meaningful impact on society. To begin with, the scientific community can benefit due to promoting gender specific multidisciplinary research which adopts methodologies from social sciences (e.g. mediation analysis, structural equation modeling) and implements them innovatively in the field of economics. In addition, the project shows how to use different types of data (e.g. surveys, expert databases) to properly address modern challenges and enrich evidence on established topics. Furthermore, the project serves as a testing ground for a novel methodology of measuring the risk of automation for a variety of occupations. From the economic and societal perspective, the project estimates the magnitude of the social costs of digitalization and provides guidance to policy-makers and companies to decrease negative spill-over effects of technological change on population health. Last but not least, the social impact of the project is related to analysing new trends in the development of society and assessing actual threats for public health due to ongoing digital transformation.

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