TY  - JOUR
A1  - Koopmann, Tobias
A1  - Stubbemann, Maximilian
A1  - Kapa, Matthias
A1  - Paris, Michael
A1  - Buenstorf, Guido
A1  - Hanika, Tom
A1  - Hotho, Andreas
A1  - Jäschke, Robert
A1  - Stumme, Gerd
T1  - Proximity dimensions and the emergence of collaboration: a HypTrails study on German AI research
JF  - Scientometrics
N2  - Creation and exchange of knowledge depends on collaboration. Recent work has suggested that the emergence of collaboration frequently relies on geographic proximity. However, being co-located tends to be associated with other dimensions of proximity, such as social ties or a shared organizational environment. To account for such factors, multiple dimensions of proximity have been proposed, including cognitive, institutional, organizational, social and geographical proximity. Since they strongly interrelate, disentangling these dimensions and their respective impact on collaboration is challenging. To address this issue, we propose various methods for measuring different dimensions of proximity. We then present an approach to compare and rank them with respect to the extent to which they indicate co-publications and co-inventions. We adapt the HypTrails approach, which was originally developed to explain human navigation, to co-author and co-inventor graphs. We evaluate this approach on a subset of the German research community, specifically academic authors and inventors active in research on artificial intelligence (AI). We find that social proximity and cognitive proximity are more important for the emergence of collaboration than geographic proximity.
KW  - collaboration
KW  - dimensions of proximity
KW  - co-authorships
KW  - co-inventorships
KW  - embedding techniques
Y1  - 2021
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-269831
SN  - 1588-2861
VL  - 126
IS  - 12
ER  - 
TY  - JOUR
A1  - Sîrbu, Alina
A1  - Becker, Martin
A1  - Caminiti, Saverio
A1  - De Baets, Bernard
A1  - Elen, Bart
A1  - Francis, Louise
A1  - Gravino, Pietro
A1  - Hotho, Andreas
A1  - Ingarra, Stefano
A1  - Loreto, Vittorio
A1  - Molino, Andrea
A1  - Mueller, Juergen
A1  - Peters, Jan
A1  - Ricchiuti, Ferdinando
A1  - Saracino, Fabio
A1  - Servedio, Vito D.P.
A1  - Stumme, Gerd
A1  - Theunis, Jan
A1  - Tria, Francesca
A1  - Van den Bossche, Joris
T1  - Participatory Patterns in an International Air Quality Monitoring Initiative
JF  - PLoS ONE
N2  - The issue of sustainability is at the top of the political and societal agenda, being considered of extreme importance and urgency. Human individual action impacts the environment both locally (e.g., local air/water quality, noise disturbance) and globally (e.g., climate change, resource use). Urban environments represent a crucial example, with an increasing realization that the most effective way of producing a change is involving the citizens themselves in monitoring campaigns (a citizen science bottom-up approach). This is possible by developing novel technologies and IT infrastructures enabling large citizen participation. Here, in the wider framework of one of the first such projects, we show results from an international competition where citizens were involved in mobile air pollution monitoring using low cost sensing devices, combined with a web-based game to monitor perceived levels of pollution. Measures of shift in perceptions over the course of the campaign are provided, together with insights into participatory patterns emerging from this study. Interesting effects related to inertia and to direct involvement in measurement activities rather than indirect information exposure are also highlighted, indicating that direct involvement can enhance learning and environmental awareness. In the future, this could result in better adoption of policies towards decreasing pollution.
KW  - transport microenvironments
KW  - exposure
KW  - pollution
KW  - carbon
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-151379
VL  - 10
IS  - 8
ER  -