• : Si, encantado de promocionar la participación del público general en la ciencia, y también de facilitar la coordinación y eficiencia
  • : tarancon@unizar.es
  • : Investigador/investigadora/grupo/institucion que aprovecha la ciencia ciudadana
  • : Ayudando a recolectar datos para uso científico (tipo toma de muestras geolocalizadas, rellenando encuestas...)| Ayudando a interpretar datos para uso científico (tipo análisis de imágenes científicas...)| Participando de forma consciente e informada en un experimento para ser estudiados (tipo pruebas piloto...)
  • : Investigador
  • : 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
  • : Mariano Esquillor ( Edificio I+D ), 50018 Zaragoza, España
  • : Internacional
  • : Sistemas complejos
  • : Activo
  • : Todo tipo de público
  • : 1/1/2010
  • : 1/1/2021
  • : 1001-10.000 personas
  • : Científico| Educativo
  • : Se están eliminando barreras y acercando a los voluntarios que son expertos en muchos temas al sistema científico profesional| Trato más cercano entre investigadores y ciudadanos| Mayor confianza del público con el sistema científico
  • : tarancon@twitter.com
  • : Si, me interesaría explicar en qué consiste mi proyecto de ciencia ciudadana, por qué y para qué lo hacemos y qué hemos conseguido.