Skip to main content
Log in

The evaluation of the Austrian START programme: an impact analysis of a research funding programme using a multi-method approach

  • Published:
The Journal of Technology Transfer Aims and scope Submit manuscript

Abstract

The following article presents and discusses the approach and findings of a recently conducted evaluation study of the Austrian START programme. The START programme is one of Austria’s most prestigious research grants for individual researchers at post-doctoral level and provides the grantee with up to 1.2 million Euro for up to 5 years. The programme’s aims are twofold: supporting excellent research and qualifying the grantee for a (permanent) senior research position in the research system. The article discusses the effects of the programme and focuses especially on the impacts on the grantees as main beneficiaries. In particular, the scientific output of the grantees and their career development is investigated. Furthermore, the analysis of the indirect beneficiary groups and the analysis of the system in which the START programme is placed, aims at answering the questions whether and how the START programme has contributed to strengthening the capabilities of the Austrian science system. The evaluation uses a control group approach to quantify the effects on the grantees. In order to counterbalance the weaknesses of traditional quantitative impact analysis and to obtain a deeper understanding of the mechanisms of the effects of the funding, the evaluation was complemented by further evidence of a qualitative and quantitative nature.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

Notes

  1. As Roessner (2000) already showed, the terms inputs, outputs, outcomes, and impacts are not always used distinctively and without any overlaps.

  2. The concept of "brain drain" refers to scientists who migrate from one country to another with no intention of returning (Grubel 1994)—an action that has international, economic and political impacts, especially in developing countries (see e.g. Lowell 2002). The brain drain approach argues that countries lose human capital if scientists go overseas to study or work, as they might decide to remain there. Thus, the emigration of highly skilled scientists results in a human capital loss ("brain drain") for the former home country and human capital earning ("brain gain") for the respective host country.

  3. Fraunhofer ISI has implemented an Oracle-SQL version of this database and systematically added further data and information to the database. Among the extensions are regionalisation (NUTS1, NUTS2, and NUTS3) of the EU-27 Member States or the definition of the researcher’s sex via the first name.

  4. It was not possible to conduct a meaningful bibliometric analysis on the comparison group as the group of people was too small (n = 49) and time spans too restricted to be able to conduct a before—during—and after analysis for this group.

  5. As the selection of the control group also controlled for the discipline, the analysis used the citation rate of each researcher and not the field-weighted ones. The analysis of the citation rate is an average of all citation rates of the START group and the control group. It therefore gives only an indication of changes, but not of productivity in individual disciplines.

  6. * The differences in the number of grantees and control group researchers included in the sample is due to the fact that it was not possible to generate a twin for each START grantee or that data were missing. The drop of persons between the three periods of analysis is due to the longitudinal design of the analysis and the fact that not all grantees have finished the funding period yet.

  7. The Mann–Whitney U Test has been used to calculate the similarities between the two groups.

  8. Fisher’s Test, significance level p < 0.05.

  9. For this study three different professorships have been distinguished, based on the former and recent Austrian research system: full professorship (Universitäts- or FH-ProfessorIn); Associate Professor (Assozierter(e) ProfessorIn, ehem. DozentIn); Assistant Professor (AssistenzprofessorIn).

  10. However, this result has to be interpreted with caution, as it is based on a relatively small number of survey respondents for all three groups: n(start) = 64; n(control group) = 41; n(comparison group) = 17.

  11. Pearson correlation index for the START grantees is −0.705; for the CG −0.556); no data for the comparison group is available, as data for this group exists only from 2007 onward.

  12. The Wittgenstein award provides recognition and support to excellent scientists who have already produced exceptional scientific work and who occupy a prominent place in the international community and have a permanent position as professor in one of Austria’s research organisation. It is the most generously supported research award in Austria.

  13. This obligation was introduced as both programmes share a lot of common features. In order to not infringe upon the principle of no-double funding at the EU and national level, the double application was found as a way forward. In case both applications are successful, the START funding is not granted. However, the successful candidate can keep the title of “START grantee” and receives a supplementary funding for approx. 1 year that tops up the slightly less well funded ERC.

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sarah Seus.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Seus, S., Bührer, S. The evaluation of the Austrian START programme: an impact analysis of a research funding programme using a multi-method approach. J Technol Transf 47, 673–698 (2022). https://doi.org/10.1007/s10961-017-9606-8

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10961-017-9606-8

Keywords

JEL Classification

Navigation