Swiss Year of Scientometrics SYoS
a project funded by swissuniversities
Dr David Johann The fourth SYoS lecture on “Openness of research information – Democratizing the use of scientometrics” is organised in collaboration with the Centre for Higher Education and Science Studies (CHESS). It will take place on 24 April 2024 at ETH Zurich (Campus Zentrum, Leonhardstrasse 21, 8092 Zürich, LEE E 101) We are extremely pleased to welcome … Read more
The third SYoS lecture on “The responsible assessment of open science” is organised in collaboration with EPFL. It will take place on 7 February 2024 at EPFL, Lausanne/Ecublens. We are delighted to welcome Dr Elizabeth Gadd as a speaker. Dr Elizabeth (Lizzie) Gadd chairs the International Network of Research Management Societies INORMS Research Evaluation Group … Read more
The second SYoS lecture on “Reframing scientometrics: How ontological understanding of science influences what we count and how we interpret it” is organised in collaboration with the Centre for Higher Education and Science Studies (CHESS). It will take place on 11 October 2023 at ETH Zurich (Campus Zentrum, Leonhardstrasse 21, 8092 Zürich, LEE E 101). … Read more
The first lecture on “Opportunities and challenges of scientometrics: diversification of data sources and applications” will take place on 07 June 2023 at ETH Zurich (Campus Zentrum, Leonhardstrasse 21, 8092 Zürich, LEE E 101), followed by the first workshop on the following day. We are extremely pleased to welcome Dr Stefanie Haustein as a speaker. Dr … Read more
Whether we like it or not, scientometric indicators and data are inevitably important for assessing the research performance of countries, institutions, departments, research groups and individual researchers. This not only applies to the science landscape of international research, but also to higher education institutions (HEI) in Switzerland. Correct usage of these indicators and data requires proper contextualisation and interpretation; however, they are often used inappropriately. Careless use of these indicators and data is problematic as it can lead to misinterpretation and ultimately to poor decisions.
