Gefinancierde projecten (zie voor verdere onderzoeksthema's onderaan):
Projecten
Project
OBELISS
22-02-2023
Algemene projectbeschrijving
In dit project, in samenwerking met en gefinancierd door het eScience Center, ontwikkelen we faciliteiten om online, interactieve gedragsexperimenten te doen binn het LISS panel. Waar de meeste sociaalwetenschappelijke experimenten gebruik maken van ad hoc steekproeven uit studentenpopulaties, zal dit project het mogelijk maken om experimenteel onderzoek te doen met deelnemers uit een kwalitatief hoogwaardige steekproef uit de Nederlandse bevolking, met gebruik van de rijke informatie die al over deze deelnemers bekend is uit het LISS panel. Meer informatie: zie hier.
Rol
Onderzoeksleider
Financiering
Anders eScience Center
Afgesloten projecten
Project
Oorzaken en gevolgen van vertrouwen in de deeleconomie
01-09-2016
tot 31-08-2021
Algemene projectbeschrijving
Onder welke voorwaarden is vertrouwen tussen vreemden mogelijk in interacties in de deeleconomie, en in hoeverre leidt de deeleconomie tot meer sociale cohesie? Dit project onderzoekt deze vragen met een combinatie van methoden: laboratorium-experimenten, online experimenten, digitale gebruikersdata en vragenlijstdata.
Rol
Onderzoeksleider & uitvoerder
Financiering
2e geldstroom - NWO NWO Vidi
Project
Grouping without Borders: Transnational Creative Knowledge Migrants in Digital Urban Space
20-04-2016
tot 01-09-2017
Algemene projectbeschrijving
The project focuses on transnational knowledge migrants (i.e. urban designers at the intersection with technology, culture and sustainability) in the creative industries and their role in shaping the urban as digital space. Creative knowledge migrants constitute an ideal case since they are "transversal enablers" that are able to connect local urban spaces to global ones. An analysis of their use of social media in cities allows for an understanding of the ways physical and digital spaces intersect and the role of these migrants in shaping the local through communicative practice and grouping processes. We carry out a pilot that will allow us to test the methodology based on language technology and social network analysis.
Rol
Uitvoerder
Financiering
1e geldstroom UU Seed Funding Institutions
Projectleden
Project
Trust on the Dark Web
01-09-2015
tot 31-08-2019
Algemene projectbeschrijving
Why would anyone engage in risky business with a total stranger? In this project, we analyze how criminals cooperate on Dark Web forums. We use rational choice and game theoretical explanations of individual trust and study effects of reputation, information diffusion and rule enforcement on exchanges in Dark Web criminal networks. We use text mining techniques, advanced social network analysis and agent-based models on unique longitudinal data of online exchanges from more than 13,000 Tor forum hosts to answer our research question.
Rol
Co-promotor
Financiering
2e geldstroom - NWO NWO Onderzoekstalent
Projectleden
PhD students (current):
Jeroen Janssen (Radboud University)
Mathijs Ambaum (RIVM)
PhD students (former):
Judith kas
Lukas Norbutas
Bas Hofstra
Maarten ter Huurne
Vincenz Frey
Further research themes:
Cooperation and trust in dynamic networks
Much sociological research suggests that certain types of network structures, in particular structures with much closure, promote cooperation in social dilemmas. If that is the case, then how can we explain the emergence of these network structures? Under what conditions are actors willing to invest in social cohesion? We address such questions using formal theoretical models, simulations, and laboratory experiments.
Learning in social networks
One of the best known aspects of social networks is their capacity to transmit information, which in turn leads to differential access to valuable information by actors with different network positions (i.e., "the strength of weak ties" or "structural holes"). Yet, studies in which a causal connection between network structure and learning is empirically established are relatively rare. In a number of experiments, we study how actors use information obtained via a social network to solve problems and how they invest in such networks.
Structure and dynamics of online social networks
The emergence of online social media platforms allows for the study of social network structure at a very large scale, for the first time in the history of sociology. In a number of larger and smaller projects with various collaborators, I study the large-scale structure of online social networks, how they relate to “offline” social networks, and their impact on social processes.