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Felix Wagner (MWK) opened the symposium with a recap on research for sustainability and the funding of RWLs in Baden-Wurttemberg.
The parameters were computed with Mplus, using RWLS estimation procedure.
To deal with this problem, we use the LMS estimates to identify outliers and then carry out a simple RWLS procedure by assigning zero weight to outliers and full weight to the rest of the observations, as recommended by Rousseeuw and Leroy (1987).
One solution is to exclude a sufficient number of countries for the parameters of interest in the RWLS regression to be close to those estimated by least trimmed squares, as in Temple and Voth (1996).
Recent studies on real-world laboratories (RwLs) emphasise the transformative character of the approach (Wanner et al.
This volume of GAIA includes a large variety of empirical investigations about the lessons learned from these RwLs. Do they keep what they promise?
This also allows us to embed debates on RwLs into a broader context and to show the development of the discourse.
Since RwLs are a transdisciplinary concept, we start with a link to Scholz (2017) who proposed three "schools" of transdisciplinary transformation research:
The appearance of real-world laboratories (RwLs) is the most recent step among many that trace the evolution of scientific approaches seeking to acquire scientific knowledge and changing behaviours of people and institutions toward sustainability by real-world experimentation (e.
As an approach for transformative research, real-world laboratories (RwLs) have gained growing attention in the past few years.
Real-world laboratories (RwLs) are currently in the spotlight for political planners, public-private partnerships, engineers and researchers who pin their hopes on sustainable, socially fair and innovative solutions to tackle some of the most complex issues of today's societies (Schapke et al.
Real-world laboratories (RwLs) stand for a new format of transformative research.
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