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Citizen science and crowdsourcing in the field of marine scientific research - the MaDCrow project.

Authors :
Diviacco, Paolo
Nadali, Antonio
Iurcev, Massimiliano
Carbajales, Rodrigo
Malfatti, Francesca
Grio, Lorenzo
Busato, Alessandro
Pavan, Alessandro
Nolich, Massimiliano
Source :
Bollettino di Geofisica Teorica ed Applicata. 2021 Supplement, Vol. 62, p179-181. 3p.
Publication Year :
2021

Abstract

Conclusions Madcrow demonstrated non only the feasibility but also the vast possibilities that the citizen science approach can have from the perspective of providing researchers with large quantities of data covering large geographical areas with very low costs. International Conference on Marine Data and Information Systems 12-14 Aprile, 2021- Online 179 Citizen science and crowdsourcing in the field of marine scientific research - the MaDCrow project Paolo Diviacco, OGS National Institute of Oceanography and Applied Geophysics (Italy), pdiviacco@inogs.it Antonio Nadali, Transpobank (Italy), nadali@tbk.it Massimiliano Iurcev, OGS National Institute of Oceanography and Applied Geophysics (Italy), miurcev@inogs.it Rodrigo Carbajales, OGS National Institute of Oceanography and Applied Geophysics (Italy), rcarbajales@inogs.it Francesca Malfatti, OGS National Institute of Oceanography and Applied Geophysics (Italy), fmalfatti@inogs.it Lorenzo Grio, Transpobank (Italy), grio@tbk.it Alessandro Busato, OGS National Institute of Oceanography and Applied Geophysics (Italy), abusato@inogs.it Alessandro Pavan, OGS National Institute of Oceanography and Applied Geophysics (Italy), apavan@inogs.it Massimiliano Nolich, University of Trieste (Italy), mnolich@units.it Introduction MaDCrow (Marine Data Crowdsourcing) is a marine technology research and development project co-funded by the European Regional Development Fund (ERDF), that aims to create an innovative technological infrastructure for the acquisition, integration and dissemination of data on the marine ecosystem of the Gulf of Trieste based on a citizen science paradigm. [Extracted from the article]

Details

Language :
English
ISSN :
00066729
Volume :
62
Database :
Academic Search Index
Journal :
Bollettino di Geofisica Teorica ed Applicata
Publication Type :
Academic Journal
Accession number :
150033829