A social network approach to community energy initiative participation

This perspective paper argues how a social network approach can contribute to creating a more comprehensive picture of how individual and community characteristics influence participation in community energy initiatives (CEIs). We argue how social network theory and methods for social network analysis can be utilized to better understand participation. Further, we show how this can potentially aid the implementation of interventions aimed at attracting more participants with more diverse socio-demographic backgrounds. Importantly, we argue that the structure of community social networks connecting (potential) participants could importantly influence whether and how individual and community properties affect CEI participation. Our aim is conveying the social network approach to the field of community energy researchers and stakeholders who might not be familiar with it. We discuss empirical evidence on the effect of network characteristics on CEI participation and the connection between research on CEIs and adjacent fields as a foundation for our claims. We also illustrate how a social network approach might help to overcome biased participation and low participation numbers, by providing social scientists with a tool to give empirically grounded advice to CEIs. We conclude by looking at avenues for future research and discuss how the context of CEIs might yield new theoretical insights and hypotheses.</p

The Influence of PLanned Hedonic Goal Deviations_ Raw Data

The file contains the raw data as downloaded from Labvanced on the 11. of July

Overcoming the Novelty Effect

Investigating HRI in a social sacrificing paradigm after prolonged exposure, while investigating mediating factors as perceived anthropomorphism and warmth and competence ratings

Do we consider a Familiar Robot when making Daily Choices

Studies have shown that perceived anthropomorphism and perceived warmth and competence shape human behavior during interactions with robots. However, research also found that perceptual changes occur after prolonged interaction with a robot, the so-called novelty effect. As such, the current work had the goal to conceptually replicate and extend previous work by investigating how long-time interaction with a social robot influences socially mindful behaviour towards that robot. Participants filled in questionnaires and performed a social mindfulness task before and after an interaction period of three consecutive days with a Cozmo robot. We observed differences in anthropomorphism ratings for pre- and post-interaction measures, and replicated previous findings regarding the novelty effect and perceptual measures. Regardless of this, and against the researchers´ hypothesis, long time interaction with a social robot did not affect social behaviour towards Cozmo

Binding Mechanisms of Electron Transport Proteins with Cyanobacterial Photosystem I: An Integrated Computational and Experimental Model

The stromal domain (PsaC, D, and E) of photosystem I (PSI) in cyanobacteria accepts electrons from PsaA and PsaB of photosystem I (PSI). These electrons are then used in the reduction of transiently bound ferredoxin (Fd) or flavodoxin. Experimental X-ray and NMR structures are known for all of these protein partners separately, yet to date, there is no known experimental structure of the PSI/Fd complexes in the published literature. Computational models of Fd docked with the stromal domain of cyanobacterial PSI were assembled here starting from X-ray and NMR structures of PSI and Fd. Predicted models of specific regions of protein–protein interactions were built on the basis of energetic frustration, residue conservation and evolutionary importance, as well as from experimental site-directed mutagenesis and cross-linking studies. Microsecond time-scale molecular dynamics simulations of the PSI/Fd complexes suggest, rather than a single complex structure, the possible existence of multiple transient complexes of Fd bound to PSI