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What to do against gender bias in grant allocation?

van den Besselaar, P., Mom, C., Cruz-Castro, L., Sanz Menéndez, L., Möller, T., ... & Husu, L. (2023).
What to do against gender bias in grant allocation? Amsterdam: TMC.
Abstract

This text summarized the recommendations that can be distilled from the research done in the GRANteD project, and from the interactions with the Stakeholder Committee, the Scientific Advisory Board, and at other exchanges with researchers in the field and with stakeholders in different interactions.

What happens to science when it communicates openly?

Blümel, C., & Fecher, B. (31. Oktober 2023).
What happens to science when it communicates openly [Blogbeitrag]. https://doi.org/10.5281/zenodo.10037220
Abstract

The contribution deals with what happens when science opens up and communicates’ and the emerging challenges for future scientific communication.

Identifying and explaining gender differences in grant decision outcomes: The results of the case studies.

Möller, T., van den Besselaar, P., Cruz-Castro, L., Sanz Menéndez, L., Sandström, U., & Mom, C. (2023).
Identifying and explaining gender differences in grant decision outcomes: The results of the case studies. Berlin, Amsterdam: DZHW / TMC (nicht zur Veröffentlichung vorgesehen).

Gender and grants: lessons from nine cases in six European countries.

Möller, T., & van den Besselaar, P. (2023).
Gender and grants: lessons from nine cases in six European countries. Berlin, Amsterdam: DZHW / TMC (nicht zur Veröffentlichung vorgesehen).

Gender differences in grant application behaviour.

Möller, T., Holzinger, F., & Schön, L. (2023).
Gender differences in grant application behaviour. Berlin, Wien: DZHW / JR (nicht zur Veröffentlichung vorgesehen).

Evidenznutzung an Hochschulen/Forschungseinrichtungen und in der Hochschul- und Forschungspolitik – Protokoll eines Scoping Reviews.

Wegner, A., & Thiedig, C. (2023).
Evidenznutzung an Hochschulen/Forschungseinrichtungen und in der Hochschul- und Forschungspolitik – Protokoll eines Scoping Reviews. Berlin: ZENODO. https://doi.org/10.5281/zenodo.10034215
Abstract

Dieses Dokument beschreibt protokollhaft die Ziele und das methodische Vorgehen eines Scoping Reviews. Im Rahmen des Reviews werden deutsch- und englischsprachige empirische Studien gesichtet, die sich mit Einflussfaktoren auf die Nutzung von Evidenz im Hochschul- und Wissenschaftssektor befassen.

Preprints in the German news media before and during the COVID-19 pandemic. A comparative mixed-method analysis.

Simons, A., & Schniedermann, A. (2023).
Preprints in the German news media before and during the COVID-19 pandemic. A comparative mixed-method analysis. In I. Broer, S. Lemke, A. Mazarakis, I. Peters, & C. Zinke-Wehlmann (Hrsg.), The Science-Media Interface. On the Relation Between Internal and External Science Communication (S. 53-78). Berlin, Boston: De Gruyter Saur (online first). https://doi.org/10.1515/9783110776546-003
Abstract

Mainstream media widely references scientific publications for claims of factuality and authority. But how did science journalism deal with the sudden surge in preprint publications that provided rapid but often uncertain knowledge during the COVID-19 pandemic? While several studies have investigated various aspects of preprint-based science communication, only a few have focused on the public discourse in Germany, albeit with substantial challenges and controversies. In this mixed-method study, we identified the usage of preprints for 1,006 in about 390,000 German news stories, qualitatively analyzed the contexts of these preprints, and developed codes that reflect the epistemic sentiments. We further compared ...

Wissenschaftskulturen in Deutschland.

Ploder, M., Müller, R., & Blümel, C. (2023).
Wissenschaftskulturen in Deutschland. Eine Studie im Auftrag der VolkswagenStiftung. Hannover: VolkswagenStiftung.
Abstract

Die VolkswagenStiftung baut einen neuen Profilbereich „Wissen über Wissen“ auf, mit dem sie Impulse zur strukturellen Verbesserung von Wissenschaft in Deutschland geben wird. Im Rahmen des Projekts „Wissenschaftskulturen in Deutschland“ wurde untersucht, wie Wissenschaftler*innen in verschiedenen Forschungsfeldern das Arbeiten und Leben am Wissenschaftsstandort Deutschland wahrnehmen und welche Möglichkeiten und Herausforderungen sie für Wissenschaftskulturen in Deutschland ausmachen. Ziel war es, eine aktuelle Zustands- und Problembeschreibung zu erarbeiten, aus der sich Ideen für die Fördertätigkeit der Stiftung sowie für einen positiven Wandel in den Wissenschaftskulturen in Deutschland ableiten lassen.

Guideline Impact Factor – A new indicator to assess journals cited in medical guidelines.

Aman, V., & Sorgatz, N. (2023).
Guideline Impact Factor – A new indicator to assess journals cited in medical guidelines. 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). https://doi.org/10.55835/644169a0565e92f0541abf8d

Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality.

Stephen, D. (2023).
Distinguishing articles in questionable and non-questionable journals using quantitative indicators associated with quality. In L. Waltman, K. H. Lai, B. Murat, J. Wang, V. Weimer, E. Noyons, & M. Luwel (Hrsg.), 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). Leiden, Netherlands: orvium.io. https://doi.org/10.55835/644245cb8e703ddb4dc07eda

Market selection and learning under model misspecification.

Bottazzi, G., Giachini, D., & Ottaviani, M. (2023).
Market selection and learning under model misspecification. Journal of Economic Dynamics and Control2023.(Abgerufen am: 12.09.2023). https://doi.org/10.1016/j.jedc.2023.104739
Abstract

The paper explores market selection in an Arrow-Debreu economy with complete markets where agents learn over misspecified models. Standard Bayesian learning loses formal justification, and biased learning processes may provide a selection advantage. The ecology of traders in the market affects selection dynamics and long-run asset valuation. Model misspecification makes it difficult to rank learning behaviors based on survival prospects. Prediction averaging has an advantage when the true data generating process belongs to the same family of models, but this advantage disappears when the true model belongs to a more general class. Rules guaranteeing survival exploit imitative mechanisms.

What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation.

Thelwall, M., Simrick, S., Viney, I., & van den Besselaar, P. (2023).
What is research funding, how does it influence research, and how is it recorded? Key dimensions of variation. Scientometrics , 128, 6085-6106. https://doi.org/10.1007/s11192-023-04836-w
Abstract

Evaluating the effects of some or all academic research funding is difficult because of the many different and overlapping sources, types, and scopes. It is therefore important to identify the key aspects of research funding so that funders and others assessing its value do not overlook them. This article outlines 18 dimensions through which funding varies substantially, as well as three funding records facets.

FAIRification of CRIS: A Review.

Azeroual, O., Schöpfel, J., Pölönen, J., & Nikiforova, A. (2023).
FAIRification of CRIS: A Review. In F. Coenen, A. Fred, J. Bernardino, E. Masciari, & J. Filipe (Hrsg.), Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer. https://doi.org/10.1007/978-3-031-43471-6_13

Defining Transparency: A Functional Approach.

Cruz Romero, R. (2023).
Defining Transparency: A Functional Approach. JeDEM - EJournal of EDemocracy and Open Government, 15(1), 219-242. https://doi.org/10.29379/jedem.v15i1.714
Abstract

This reflection piece seeks to tackle this blurriness and advance the concept’s analytical precision by presenting and discussing transparency’s main dimensions, as well as its framing within the scholarly body of good governance, democracy, and development. To do so, the reflection paper presents a novel approach; to define transparency in the form of a function (which places transparency in relation to, and as a function) of its two constituting dimensions: a) information (timely and qualitative), and b) accountability mechanisms (namely, a free media environment and legitimate accountability channels).

The Field-Specificity of Open Data Practices.

Velden, T., & Tcypina, A. (2023).
The Field-Specificity of Open Data Practices. In International Conference on Science (Hrsg.), 27th International Conference on Science, Technology and Innovation Indicators (STI 2023). Leiden, Niederlande: ovium.io. https://doi.org/10.55835/64b14ef741aa5b443685f9d3
Abstract

Increasingly, researchers are expected to make their research data openly available. However, scientific fields differ in their research practices and norms for sharing research data. We provide quantitative evidence of differences in data practices and the public sharing of research data at a granularity of field-specificity that is rarely reported in open data surveys. Based on a survey of 8,822 researchers at German Universities, we find considerable variation, within and across disciplines, of data practices and rates of open data sharing. Our findings underline that in order to evaluate rates of public data sharing, a better understanding of the embedding of public data sharing into field-specific research practices is needed.

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Emanuel Kulczycki
Prof. Dr. Emanuel Kulczycki Abteilungsleitung 030 2064177-10
Guido Speiser
Dr. Guido Speiser Stellv. Abteilungsleitung 030 2064177-24

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