Comparing fields of sciences: the network of collaborations to research projects in Italian academia
Abstract
Data di Pubblicazione:
2014
Abstract:
Much of the work in the sociology of science observes scientific communities from a micro
perspective, focusing on interactions in laboratories in order to uncover the impact of social and
cultural norms in the everyday production of scientific results. Other studies approach the topic
from a macro perspective, analysing scientific organizations and the reciprocal influence they
have with wider society, or uncovering the invisible colleges that become apparent through the
analysis of co-authorship and citations' patterns. Less attention has been paid to the meso level
of interactions within and between scientists and the institutions they work in. This paper
extends the structural approach of Lazega et al. (2008) and analyses the local system of public
funding to academic disciplines in Italy using multilevel networks.
Data cover 10 years (2001 - 2011) of Projects of National Interest (Prin) funding from the Italian
Ministry of University and Research, in all the disciplinary areas of academia. These areas are
institutionally identified in 14 macro areas, internally subdivided in intra-disciplinary sectors.
Projects are organised around a national coordination unit, which manages local units normally
based in different universities. The micro (collaborations between scientists), macro
(collaborations between institutions) and meso level (the combination of network measures at a
micro and macro level) of interactions are analysed.
We then regress the total amount of money that researchers have received over the 10 years
against the variables that meaningful describe the network structures of collaborations to
research projects. We control for structural dependency using a network disturbance models.
Results of the regression models are then compared across fields, to observe the individual and
structural characteristics that significantly correlate with success in obtaining funding.
Tipologia CRIS:
04.02 Abstract in Atti di convegno
Keywords:
Research Collaborations; Network Analysis; Multilevel network
Elenco autori:
Guadalupi, Luigi
Link alla scheda completa: