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Journal Article

Citizen Science : gemeinsam Wissen schaffen

Authors
/persons/resource/dransch

Dransch,  D.
Vol. 8, Issue 1 (2018), GFZ Journal 2018, System Erde : GFZ Journal, Deutsches GeoForschungsZentrum;
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/kyba

Kyba,  C.
Vol. 8, Issue 1 (2018), GFZ Journal 2018, System Erde : GFZ Journal, Deutsches GeoForschungsZentrum;
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/kschroet

Schröter,  Kai
Vol. 8, Issue 1 (2018), GFZ Journal 2018, System Erde : GFZ Journal, Deutsches GeoForschungsZentrum;
5.4 Hydrology, 5.0 Geoarchives, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/yang

Yang,  B.
Vol. 8, Issue 1 (2018), GFZ Journal 2018, System Erde : GFZ Journal, Deutsches GeoForschungsZentrum;
1.5 Geoinformatics, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/ds

Schorlemmer,  Danijel
Vol. 8, Issue 1 (2018), GFZ Journal 2018, System Erde : GFZ Journal, Deutsches GeoForschungsZentrum;
2.6 Seismic Hazard and Stress Field, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Barz,  Björn
Vol. 8, Issue 1 (2018), GFZ Journal 2018, System Erde : GFZ Journal, Deutsches GeoForschungsZentrum;
External Organizations;

Denzler,  Joachim
Vol. 8, Issue 1 (2018), GFZ Journal 2018, System Erde : GFZ Journal, Deutsches GeoForschungsZentrum;
External Organizations;

External Ressource
Fulltext (public)

GFZ_syserde.08.01.7.pdf
(Publisher version), 381KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Dransch, D., Kyba, C., Schröter, K., Yang, B., Schorlemmer, D., Barz, B., Denzler, J. (2018): Citizen Science: gemeinsam Wissen schaffen. - System Erde, 8, 1, 46-51.
https://doi.org/10.2312/GFZ.syserde.08.01.7


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_3543903
Abstract
Involving citizens into science has long tradition; examples are bird watching or weather observation. Digital technologies foster citizen science by providing easy to use apps via the Internet serving specific scientific tasks. At GFZ we develop and test approaches to receive data provided by citizens for various scientific applications: Examples are the quantification of light pollution during the night, and the assessment of damages to buildings caused by flood. Data provided by citizens should complement scientific data collected by sensors and thus overcome shortcomings sensors have. In the case of quantifying light pollution an app allows participants to use their visual system as a sensor to measure the brightness of the sky. The app directs participants to find a particular star in the sky, and then report whether it is visible or not. To assess flood damage we develop a system that filters relevant images from the huge amount of information available in social media and to extract suitable information such as inundation depth and area or water pollution. It also supports scientists to judge reliability and usefulness of the information derived from social media. In several studies we already could show the scientific value of data provided by citizens.