Over the last two decades, a solid consensus grew in the scientific community that the so-called Citizen Science could contribute to advancing our current knowledge in many disciplines. In particular Hydro-Meteorological (HM) researchers immediately pointed out to the countless advantages of cooperating with Citizen Scientists. In this paper we present the experience made during the Distributed Research Infrastructure for Hydro- Meteorology (DRIHM) project for supporting citizen scientists involvement. The paper describes the different roles participants can assume, based on their capabilities in using and extending the DRIHM virtual collaborative platform and specifically giving a case for identifying and integrating citizen scientists. The major achievement is represented by the possibility for citizen scientists to execute actual simulations using real forecasting models and computational platforms. This can represent a first step for the dissemination of the right culture of the HM risk among the population and to enforce the involvement of citizen scientists in HM data processing and analysis tasks.

The DRIHM e-science infrastructure supporting citizen-scientists involvement

D D'Agostino;A Clematis;A Galizia;E Danovaro;L Roverelli;G Zereik;A Quarati
2017

Abstract

Over the last two decades, a solid consensus grew in the scientific community that the so-called Citizen Science could contribute to advancing our current knowledge in many disciplines. In particular Hydro-Meteorological (HM) researchers immediately pointed out to the countless advantages of cooperating with Citizen Scientists. In this paper we present the experience made during the Distributed Research Infrastructure for Hydro- Meteorology (DRIHM) project for supporting citizen scientists involvement. The paper describes the different roles participants can assume, based on their capabilities in using and extending the DRIHM virtual collaborative platform and specifically giving a case for identifying and integrating citizen scientists. The major achievement is represented by the possibility for citizen scientists to execute actual simulations using real forecasting models and computational platforms. This can represent a first step for the dissemination of the right culture of the HM risk among the population and to enforce the involvement of citizen scientists in HM data processing and analysis tasks.
2017
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Inglese
Waleed W. Smari
Proceedings of The 2017 International Conference on High Performance Computing & Simulation (HPCS 2017)
The 2017 International Conference on High Performance Computing & Simulation (HPCS 2017)
333
340
978-1-5386-3250-5
IEEE COMPUTER SOC
LOS ALAMITOS, CA
STATI UNITI D'AMERICA
Sì, ma tipo non specificato
17/07/2017-21/07/2017
Genova
N/A
In the conference proceedings http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8035037&tag=1 but not in IEEExplorer because of a - in our opinion - non-correct application of IEEE no-show policy
9
restricted
D'Agostino, D; Clematis, A; Galizia, A; Danovaro, E; Roverelli, L; Zereik, G; Parodi, A; Mazza, E; Quarati, A
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Distributed Research Infrastructure for Hydro-Meteorology
   DRIHM
   FP7
   283568
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/325662
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