Cos4Cloud is a EU-funded project that is co-designing, prototyping and implementing a number of new tools and services that address the technological challenges shared by citizen observatories. These services can help citizen observatories to improve data and information quality of observations and can be used as modules, so that any existing citizen science observatory will be able to choose and install the technological services they wish.

In this webinar, we give a short introduction of the project, present two of the services developed - MOBIS and FASTCAT-Cloud - and tell you about the integration between the citizen observatory iSpot and the FASTCAT-Cloud service.
- MOBIS is a service to create integrative citizen science apps where you can report all your environmental and biodiversity observations in one Android or iOS app.
More on MOBIS here: [ Ссылка ]
- FASTCAT (Flexible Ai System for CAmera Traps)-Cloud is an open website service that allows you to automatically filter out most unwanted pictures and video streams, keeping images of animals, and to integrate machine learning technology, among other things.
More on FASTCAT-Cloud here: [ Ссылка ]
Check also: [ Ссылка ]
- iSpot is a citizen observatory aimed at helping anyone identify anything in nature. People upload their observations of wildlife, help each other identify it, and share and discuss what they've seen.
Check iSpot here: [ Ссылка ]

Programme:
- Introduction to the Cos4Cloud project (Co-designed citizen observatories for the EOS-Cloud) by Sonia Liñán, CSIC-ICM
- Presentation of the service MOBIS by Norbert Schmidt, DDQ Pocket Science
- Presentation of the service FASTCAT-Cloud by Frederic Fol Leymarie, DynAikon
- Integration of iSpot and FASTCAT-Cloud by Chris Valentine, The Open University
- Q&A moderated by Claudia Fabó Cartas, ECSA

Join the Cos4Cloud community if you would like to be informed about future activities and participate in them: [ Ссылка ]
You can also join the Cos4Cloud Telegram channel: [ Ссылка ]

Cos4Cloud has received funding from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under grant agreement No. 863463. [ Ссылка ]

The information, documentation and figures in this recording do not necessarily reflect the views of the European Commission but only those of the authors. The European Commission is not liable for any use that may be made of the information contained herein.

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