Citizen science / public healthmosquito surveillance and public healthParticipation documented
Mosquito Alert
Barcelona, Spain
Citizens submit geolocated photos and breeding-site reports that feed a surveillance system where AI now assists mosquito identification and early warning.
citizen sciencepublic healthenvironmental monitoringdata collectionvalidationmodel trainingdeployment
- Region
- Europe
- Lead organization
- Mosquito Alert; CEAB-CSIC; CREAF; ICREA
- Organization type
- nonprofit / research collaboration
- Technology group
- computer vision + citizen science
- Activity status
- active
- Start year
- 2014
- Last updated
- Mar 25, 2026
- Participation mode
- citizen reporting + expert validation + AI-assisted species identification
- Participants
- Citizens; entomologists; public health officials
- Methods
- mobile reporting; photo submission; expert validation; open data sharing
- AI lifecycle stages
- data collection; validation; model training; deployment
- Evidence summary
- Citizens submit geolocated photos and breeding-site reports that feed a surveillance system where AI now assists mosquito identification and early warning.
- Atlas assessment
- Cautious · Medium confidence · evidence grade A
- Uncertainty
- Participation is present and verified, but is mostly contributory, consultative, or otherwise weaker than core atlas exemplars.
- Participation group
- Contributory
- Technology description
- computer vision + citizen science
- Funding
- Not documented
- Region of activity
- international
- Verification status
- Live Verified
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