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Citizen Science
Francisco PandoReal Jardín Botánico – CSIC (Spain)
Competence Center
Summary• The conceptual framework
– the question– the data– the role of citizen science– CC as solution provider
• Current strategy and developments– Natusfera– Caffe– Cinda
• Future action lines
The question
Martin Sharman, European Commission
The questionCimate change and biodiversity crisis
"Countries can not make decisions about the major environmental problems that affect us, both those related to climate as the natural capital itself without the essential support of the best scientific knowledge available“
Ana Luisa Guzmán, Ejecutive Secretary, CONABIO, México
Fires, erosion, coccolithophores and CO2
models & predictions
http://www.eea.europa.eu/data-and-maps/indicators/distribution-of-animal-species-1/assessment
• Powered by ICT developments
• ubiquitous• As good as the data put in
The best data for the best answers• Biodiversity data suitable for analysis
offers a tremendous increase in data available!
Citizen Science is not new
A directory of nature oriented associations in the region of Madrid (Spain)http://www.madrid.org/cs/Satellite?cid=1142330062399&pagename=PortalJoven/Page/JUVE_contenidoFinal
…
Legal consideration is there
CC as solution provider
Linking, filling gaps, integrating
• Science & Society• Interest & Policy (Society & Administrations)• Content & Tools
• Knowledge > prediction > decisions•Invasive species,
roadkills, endangered species
• From data to services
Why branching out from iNaturalist?(lessons learnt or to be learnt)
• Localisation: different languages• “Projects of projects”, greater flexibility and
control for users (thinking of communities rather than individuals)
• Customized data publication avenues for users (instead of a monolithic approach)
• iNaturalist subscription model was problematic to accept and to maintain
Data publication, data integration
http://www.gbif.org/dataset/50c9509d-22c7-4a22-a47d-8c48425ef4a7
CINDA• Repository
framework + mobile application
• Applicable to multiple purposes (not just biodiversity)
Species identification
The Institute for Biocomputation and Physics of Complex Systems (BIFI). Zaragoza. Spain
The challenges
• “if we build it, they will come” <-NO– usable, useful, used
• How to get faster innovation that spreads beyond people doing the innovation
• Integration– open data– connecting repositories– standardization (OGC, TDWG)– Metadata
Future action lines
– Linking CS Biodiversity observation platform(s) and species identification based on automatic image analysts
– Linking biodiversity and environmental observations and information
Linking CS Biodiversity observation platform(s) and species identification based on automatic image analysis
Observer/SC gets species IDInstant satisfaction
Species distribution DB gets IDDB quality
6.109947 N
73.336116 W
Linking biodiversity and environmental observations and information
• shared infrastructure• shared standards• open data• linked data
• species occurence data
• environmental data
• Simultaneous recording of biodiversity and environmental conditions
• Improved models > improved predictions > improved decisions
• Autonomous data acquisition Integration • Unified access
As a way of conclusion• Integration has to go beyond ICT:– ICT- Biology– Science – Society– …
• Tension projects vs infrastructures• ·”So much to do so little time”• Appreciate the opportunity: ICT is changing the
way biodiversity is studied, conserved and managed…
… still struggling to get the right incentives in place (cultural change)
Argema mittrei
Francisco Pando Real Jardín Botánico - CSIC
Claudio Moyano 1, 28014 Madrid, [email protected]
http://creativecommons.org/licenses/by-sa/3.0/es/
