Complex Network Visualisation for the History of Interdisciplinarity: Mapping Research Funding in Switzerland

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Serval ID
serval:BIB_E6C9CC8BC9E6
Type
Inproceedings: an article in a conference proceedings.
Publication sub-type
Abstract (Abstract): shot summary in a article that contain essentials elements presented during a scientific conference, lecture or from a poster.
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Publications
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Title
Complex Network Visualisation for the History of Interdisciplinarity: Mapping Research Funding in Switzerland
Title of the conference
Digital Humanities 2017
Author(s)
Grandjean Martin, Benz Pierre, Rossier Thierry
Publication state
Published
Issued date
2017
Peer-reviewed
Oui
Language
english
Abstract
In Switzerland, the panorama of scientific research is deemed to be deeply affected by language barriers and strong local academic identities. Is this impression confirmed by data on research projects? What are the factors that best explain the structure of scientific collaborations over the last forty years? Do linguistic regions (Switzerland is divided into three principals) or local academic logics really have an impact onto the mapping of research collaborations and to what extend are they embedded in disciplinary, historical and generational logics?
We focus on the very large database of the Swiss National Science Foundation (SNSF), the principal research funding agency in Switzerland, which lists all the 62,000 projects funded between 1975 and 2015. While scientometric studies generally focus on measuring work – and financial – performance, we aim to raise awareness on pursuing a socio-history analyse of Swiss academic circles by crossing the SNSF data with a prosopographic database of all Swiss university professors in the twentieth century provided by the Swiss Elite Observatory (OBELIS). Beyond the interest for the history of science and universities, we explore the noteworthy technical challenge of a network analysis of nearly 88,000 researchers and more than a million of collaborations.
By combining those two databases, we measure the temporality and spatiality of academic collaborations, i.e. to define a way to deal with the volume of information in order to provide not only a global vision but also to enable a fine processing of personal trajectories.
Create date
08/05/2017 16:39
Last modification date
20/08/2019 17:09
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