On the 25th & 26th of January 2017 the conference „Leistungsbewertung in der Wissenschaft – Perspektiven aus Forschung, Praxis und Politik“ takes place at the Vorhoelzer Forum of the TU Munich.
Participants of the Federal Ministry of Education and Research funding line „Leistungsbewertung in der Wissenschaft“ will present results of their research projects. Scholars who are not part of the funding line can also submit presentations about research on topics like performance indicators, or digitalization and performance measurement. Keynotes will be held by Prof. Dr. Dr. h.c. mult. Bruno Frey, Prof. Dr. Dr. h.c. Margit Osterloh, Prof. Dr. Stefan Kühl, Dr. Ulrich Schreiterer and Prof. Dr. Birgitta Wolff.
Abstracts (max. 1000 words) can be submitted until December 9th to email@example.com. For further informations take a look at the call for papers.
We’re co-hosting the upcoming conference of the Scientific Commission Higher Education Management (Wissenschaftliche Kommission Hochschulmanagement im VHB) on February 21-22, 2017 at the HSU Helmut Schmidt University in Hamburg.
Abstracts (max. 1000 words excluding references) of articles dealing with the management of higher education institutions can be submitted until December 23rd 2016. The main topic is “Third party funding in higher education”. But there is also the possibility to submit papers in other areas of interest, among them:
- New forms of governance of universities
- Measurability of research performance
- Open access, social media, and ctizen science
- Peer evaluation, performance indicators, and rankings
- Autonomy of science
For further information see the call for papers (only in German).
I know, publication bias is not a new topic but it is still of high relevance. I found some very interesting results in a study from Annie Franco, Neil Malhotra, Gabor Simonovits published in Science (19 Sep 2014, Vol. 345, Issue 6203, pp. 1502-1505): Publication bias in the social sciences: Unlocking the file drawer. According to the authors, “only 10 out of 48 null results were published, whereas 56 out of 91 studies with strongly significant results made it into a journal.” The following figure summarizes the results:
The pattern is quite remarkable. The majority of evidence that does not support any hypothesized relationship is not even written-up in the first place. So there’s reason for doubt that special platforms or journals who publish papers with contrary findings – as it is regularly discussed for overcoming publication bias – will significantly increase the number of null results published.