Explore the words cloud of the GRANteD project. It provides you a very rough idea of what is the project "GRANteD" about.
The following table provides information about the project.
JOANNEUM RESEARCH FORSCHUNGSGESELLSCHAFT MBH
|Coordinator Country||Austria [AT]|
|Total cost||1˙999˙525 €|
|EC max contribution||1˙999˙525 € (100%)|
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)
|Duration (year-month-day)||from 2019-01-01 to 2023-02-28|
Take a look of project's partnership.
|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|
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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