Descrizione del progetto
Per una migliore conoscenza della scienza dei cittadini
Il ruolo svolto nelle società moderne dalla scienza dei cittadini (citizen science, CS) non è pienamente compreso sebbene rappresenti un ponte significativo tra il grande pubblico e la comunità scientifica. La CS è ricerca o studio condotti principalmente da non-scienziati nel rispetto delle procedure scientifiche. Il progetto CS-Track, finanziato dall’UE, intende arricchire le nostre conoscenze in materia di CS e formulare proposte politiche basate sulla conoscenza, tese a consentire potenziali benefici per cittadini, organizzazioni e società. Il progetto farà intenso uso di dati provenienti dal web e dai social media e condurrà interviste con le parti coinvolte per tentare di capire come la CS interagisca con la società e in relazione al genere, all’età, alla posizione geografica e alle differenze sociali ed economiche. Le proposte finali intendono migliorare la CS come fattore costruttivo nella società e nell’economia dell’UE.
Obiettivo
The Call focuses on Citizen Science (CS), understanding it in a comprehensive way and inviting projects to deepen and broaden our knowledge on CS activities and their impact. Indeed, overcoming present hurdles on the way to reach that knowledge will enable the potential benefits of CS – on individual citizens, organizations, and society at large – to be realized more effectively and frequently. This is the aim of our proposed project, CS-Track, which will seek this increased knowledge by “observing” a large and diverse set of CS activities, gathering data from the web, interviews of involved players, etc., and from a more direct inspection of running activities. Vast amounts of data will thus be studied, relying for this on (1) web-based analytics, i.e. the use of computational analyses to study CS activities based on their manifestations and traces on the web and social media, and (2) deepening and combining these analyses with approaches known from social studies through multi-perspective analysis and triangulation. Our data analytics and analysis will target both “own” aspects and developments of the CS activities (organizational/operational characteristics, scientific outcomes, good practices, individual/group learning, other success or failure indicators, etc.), and societal aspects, related to the impact of those activities on society, such as gender, age, geographical and socio-economic differences; science as a discipline and its role in society, changing attitudes to science, women in science, etc. This will enable us to understand complex processes, disseminate good practices and formulate knowledge-based policy recommendations intended to optimize CS to make it a major, positive factor for EU’s society and economy. The project will last 36 months, involving 9 partners from 7 countries.
Campo scientifico
Parole chiave
Invito a presentare proposte
Vedi altri progetti per questo bandoBando secondario
H2020-SwafS-2019-1
Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
61484 Tel-Aviv
Israele