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GRANteD

Financiado

Cerrado

GRant AllocatioN Disparities from a gender perspective

In the GRANteD project we study the occurrence and causes of gender bias in the allocation of research grants, We also study the consequences of gender bias in grant allocation for gender bias in the development of careers in rese... ver más

31/10/2023

JOANNEUM RESEARCH

2M€

Presupuesto del proyecto: 2M€

Líder del proyecto

JOANNEUM RESEARCH FORSCHUNGSGESELLSCHAFT MBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Ver 6 Participantes

Financiación concedida El organismo H2020 notifico la concesión del proyecto el día 2023-10-31

SwafS-10-2018: Analysing gender gaps and biases in...

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Cerrada hace 6 años

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Información adicional privada

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

6 Participantes

JOANNEUM RESEARCH

707.00K€ | Lider

CSIC

224.38K€ | Participante

ORU

308.51K€ | Participante

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Duración del proyecto: 59 meses Fecha Inicio: 2018-11-20
Fecha Fin: 2023-10-31

Líder del proyecto

JOANNEUM RESEARCH FORSCHUNGSGESELLSCHAFT MBH No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 2M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto In the GRANteD project we study the occurrence and causes of gender bias in the allocation of research grants, We also study the consequences of gender bias in grant allocation for gender bias in the development of careers in research and innovation. Our approach is distinct, because we (i) do not take every gender gap or different success rate as bias, but develop a model that includes variables such as past performance of the applicant and quality of the proposal that may influence the grant allocation. Then (ii) after controlling for the relevant variables we test whether gender has an effect on the grant allocation outcomes, that is gender bias. After in this way having determined where gender bias occurs in grant allocation, we (iii) identify the causes of gender bias, which may be in the procedures, in the criteria deployed, in the evaluation processes, or in composition of the panels, and result in e.g. gender stereotyping or in gendered application of criteria. Finally we analyse (iv) the effects of (biased) grant allocation on careers, but also vice versa, as career level of applicants may recursively influence grant allocation. In order to generate results that can be generalised, the analysis covers a heterogeneous set of funding organizations and funding instruments. For several cases data are already available, for others new data will be collected. A series of methods will be used, from interviews and observations to qualitative text analysis, quantitative multi-level analysis and event history analysis. By maintaining intensive and productive interactions with stakeholders, the project will be targeted on real life problems around grant allocation and careers, and will maximise the impact of the findings.

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