Mission statement:

When scientific careers are competitive and financial resources scarce, we are here to investigate the disciplinary, topical and other forms of bias in the awarding of research grants. We seek to better understand the ways in which funding steers the epistemic course of the sciences, creates or reinforces hierarchical structures between or within disciplines, bestows prestige on research organizations, and transforms career trajectories of individual scientists. Our findings shall contribute to evidence-based policies for more efficient, diverse, and fair distribution of research funding.

 

Hladík

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Funded and Unfunded Science, 2021 conference

 

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About RESFUN-CZ

Hladík

In the RESFUN-CZ project, we apply combined scientometric and topic modeling tools to large and enriched datasets on Czech science to better understand how the thematic structure of science accounts for differences in the access to research funding with an additional emphasis on social sciences specialties and gendered topics. Grant-getting has been associated with only a modest increase in research output and impact, while its most discernible documented effect consists of improving researchers' careers. Grants also change the way scientists work, e.g. by stimulating collaboration. Little remains known, however, about the relationship of the thematic priorities in scientific disciplines to grant awards. The project will provide such insights by coupling scientometric analysis with the recently advanced tools for identifying semantic structures, or topics, among the funded and unfunded research outputs recorded in the Czech Register of R&D Results. Supplementary indicators, e. g. bibliometric records are used to enrich the original data and enable descriptive mapping of the role of funding in various disciplines and organizations. The project also examines the effects of authorial predictors, e.g. gender or position in a coauthorship network, on grant-getting. Finally, research topics are to be included in the models as covariates to estimate their effects on the difference between funded and unfunded research.

Funded and Unfunded Research in the Czech Republic: Scientometric Analysis and Topic Modeling is a project no. GJ20-01752Y supported by the Czech Science Foundation.

 

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People

Hladík

Radim Hladík

Radim is the principal investigator (PI) responsible for quantiative data acquisition, processing, and analysis with emphasis on modeling grant topics as well as semantic and disciplinary mapping of Czech science.

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+420 221 183 280

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@hlageek

www.radimhladik.net

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Nina Fárová

Nina focuses her research on the gender dimension of grant awards and is in charge of conducting qualitative research on the notion of academic success in terms of grant acquisition across different disciplines.

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Jiří Bureš

Jiří studies the patterns of concentration in research funding and uses economic indicators for the assessment of inequality in access to financial resources in science.

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Collaboration

Please, get in touch if you find an overlap between our project and your research interest. We are always open to expanding our research network.

We are currently working with the ELICO research team at the Université Claude Bernard Lyon 1 on the comparison of funded topics by Czech and French funding agencies.

 

 

 

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