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GRANteD SIGNED

GRant AllocatioN Disparities from a gender perspective

Total Cost €

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EC-Contrib. €

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Partnership

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Project "GRANteD" data sheet

The following table provides information about the project.

Coordinator
JOANNEUM RESEARCH FORSCHUNGSGESELLSCHAFT MBH 

Organization address
address: LEONHARDSTRASSE 59
city: GRAZ
postcode: 8010
website: www.joanneum.at

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Total cost 1˙999˙525 €
 EC max contribution 1˙999˙525 € (100%)
 Programme 1. H2020-EU.5.b. (Promote gender equality in particular by supporting structural change in the organisation of research institutions and in the content and design of research activities)
 Code Call H2020-SwafS-2018-1
 Funding Scheme RIA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2023-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    JOANNEUM RESEARCH FORSCHUNGSGESELLSCHAFT MBH AT (GRAZ) coordinator 707˙000.00
2    OREBRO UNIVERSITY SE (OREBRO) participant 559˙500.00
3    TERESA MOM CONSULTANCY BV NL (AMSTERDAM) participant 315˙625.00
4    AGENCIA ESTATAL CONSEJO SUPERIOR DEINVESTIGACIONES CIENTIFICAS ES (MADRID) participant 224˙375.00
5    DEUTSCHES ZENTRUM FUR HOCHSCHUL- UND WISSENSCHAFTSFORSCHUNG GMBH DE (HANNOVER) participant 193˙025.00

Map

 Project objective

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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