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Auflistung nach Schlagwort "citizen science"

1 - 5 von 5
  • Zeitschriftenartikel
    Collective organization of discourse expertise using information technology – CODE IT!
    (it - Information Technology: Vol. 60, No. 1, 2018) Paul, Katharina T.
    This paper offers a short report on a participatory citizen science project and offers some reflections on the lessons learned. In particular, we report on our aims and methods, and the development and use of a web application that we designed to enable a collective analysis of press releases allowing a high number of users. Specifically, we give a brief account of the HTML- and PHP-based platform, which was used to analyze and review press releases on a controversial vaccine.
  • Zeitschriftenartikel
    Design and implementation of a platform for the citizen science project migraine radar
    (it - Information Technology: Vol. 60, No. 1, 2018) Wogenstein, Florian; Gaul, Charly; Kropp, Peter; Scheidt, Jörg; Siebenhaar, Yannic; Drescher, Johannes
    In this paper we introduce the design and technical implementation of the citizen science project Migraine Radar. The goal of the project is to establish a large collection of migraine attack data in order to explore the trigger factors of migraine attacks. A main focus is the investigation of the influence of environmental factors like weather or changes in the geomagnetic activity on the frequency of migraine attacks. After registering with the project, participants report their migraine attack data using a web app or one of the smartphone apps implemented for Android and iOS. As a benefit, the system serves as a personal headache calendar and participants have access to statistics and individualized reports about their attacks. For scientific analysis the data are pre-processed and provided to the researchers in an anonymized way.
  • Zeitschriftenartikel
    DesPat: Smartphone-Based Object Detection for Citizen Science and Urban Surveys
    (i-com: Vol. 20, No. 2, 2021) Getschmann, Christopher; Echtler, Florian
    Data acquisition is a central task in research and one of the largest opportunities for citizen science. Especially in urban surveys investigating traffic and people flows, extensive manual labor is required, occasionally augmented by smartphones. We present DesPat, an app designed to turn a wide range of low-cost Android phones into a privacy-respecting camera-based pedestrian tracking tool to automatize data collection. This data can then be used to analyze pedestrian traffic patterns in general, and identify crowd hotspots and bottlenecks, which are particularly relevant in light of the recent COVID-19 pandemic. All image analysis is done locally on the device through a convolutional neural network, thereby avoiding any privacy concerns or legal issues regarding video surveillance. We show example heatmap visualizations from deployments of our prototype in urban areas and compare performance data for a variety of phones to discuss suitability of on-device object detection for our usecase of pedestrian data collection.
  • Konferenzbeitrag
    Foregrounding Values through Public Participation: Eliciting Values of Citizens in the Context of Mobility Data Donation
    (Mensch und Computer 2023 - Tagungsband, 2023) Sörries, Peter; Franzen, Daniel; Sperl, Markus; Müller-Birn, Claudia
    Citizen science (CS) projects are conducted with interested volunteers and have already shown promise for large-scale scientific research. However, CS tends to cultivate the sharing of large amounts of data. Towards this, our research aims to understand better citizens’ potential privacy concerns in such participation formats. We, therefore, investigate how meaningful public participation can be facilitated to foreground citizens’ values regarding mobility data donation in CS. In this regard, we developed a two-step method: (1) a workshop concept for participatory value elicitation and (2) an analysis procedure to examine the empirical data collected systematically. Our findings based on three workshops provide new directions for improving data donation practices in CS.
  • Zeitschriftenartikel
    Mobile learning in environmental citizen science: An initial survey of current practice in Germany
    (it - Information Technology: Vol. 60, No. 1, 2018) Sturm, Ulrike; Moormann, Alexandra; Faber, Astrid
    Citizen science is a growing approach in science and the opportunities of new technologies and learning are considered more and more. We give an overview of the current practice of mobile learning in Germany by conducting an explorative survey among environmental citizen science projects using mobile apps. This study supports the idea that education is relevant in citizen science, and apps affect the learning experience of participants. However, several obstacles were identified that need to be considered, to be able to fully exploit the benefits of mobile learning in citizen science.