The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
Data annex for the Descriptive, Text and Network Analyses
Creator
A. Berti Suman (Tilburg University)
Study number / PID
doi:10.17026/dans-zre-t3hd (DOI)
easy-dataset:161131 (DANS-KNAW)
Data access
Information not available
Series
Not available
Abstract
Descriptive, Text and Network Analyses perfromed for the doctoral project "Sensing the risk. In search of the factors influencing the policy uptake of citizen sensing"Summary‘Citizen sensing’, framed as grassroots-driven monitoring initiatives based on sensor technology, is increasingly entering the debate on environmental risk governance. When lay people distrust official information or just want to fill data gaps, they may resort to sensors and data infrastructures to visualize, monitor and report risks caused by environmental factors to public health. Although through a possible initial conflict, citizen sensing may ultimately have the potential to contribute to institutional risk governance. The practice, manifesting claims based on individual rights such as the right to live in a healthy environment and the right to access environmental information, brings the promise to make risk governance more transparent and accountable. Whereas studies on broader citizen science and on citizen sensing often focus on the learning gains for the participants, this thesis rather explores the potential for the sensing citizens to concretely influence risk governance through policy uptake. It inquires ‘which factors contribute to the policy uptake of community-led citizen sensing, responding to a risk and eventually generated by distrust, and which interventions are needed for citizen sensing to complement institutional risk governance’. This complementary potential is assessed by empirically researching the policy uptake of citizen sensing and the influence of factors such as the technology element, the grassroots’ drive, the risk element, distrust and social uptake on this outcome. A number of case studies are investigated adopting a combination of methods, including ethnographical research (on two selected cases), descriptive analysis and fuzzy-set Qualitative Comparative Analysis (on a larger set of cases). The cases are analysed through a theoretical framework built on...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.