CO-DESIGN | understanding
COS4BIO
CO-DESIGN | testing
FASCAT-Edge

1. Citizen observatories

What are citizen observatories?

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Citizen observatories

Citizen observatories: essential tech for citizen science

Society’s active participation in co-producing scientific knowledge requires the use of open and interoperable technological platforms. Citizen observatories have become the tech infrastructure that facilitates the gathering, processing and sharing of data and information that citizens and the scientific community build collaboratively, making citizen science a reality of the 21st century.

KNOWLEDGE · KNOWLEDGE · KNOWLEDGE · KNOWLEDGE ·
PLATFORMS · PLATFORMS · PLATFORMS · PLATFORMS ·
INTEROPERABILITY · INTEROPERABILITY · INTEROPERABILITY ·

2. COS4CLOUD

An answer to the technological challenges of citizen science

COS4CLOUD

The main challenges citizen observatories face are:

Data
Failures in the gathering, identification and validation of data.
Photo Credit:Pexels
Technology
Limited resources for the technological development of platforms.
Photo Credit:Pl@ntNet, Inria
Standards
Lack of standards to facilitate information exchange between platforms.
Photo Credit:Karen Soacha
Interoperability
Low interoperability at local, regional and global levels, which prevents escalating the data to overcome geographic, thematic or even linguistic barriers to conduct research.
Photo Credit:Pexels
Sustainability
Long-term sustainability issues, with difficulty in obtaining resources to develop basic functionalities with cutting edge technology.
Photo Credit:Freepik

Cos4Cloud has tackled these challenges through the co-design of 13 technological services that have been tested by their final users, both current and potential: members of the citizen science community including citizen scientists, developers, data analysts and observatory coordinators, among others.

How does Cos4Cloud improve citizen science technology?

The Cos4Cloud services fulfil different needs

Integrating AI to facilitate recognition and location of species
Photo Credit:Jaume Piera, Natusfera
Facilitating data analysis of citizen science based on open tools that integrate multiple observatories
Photo Credit:Miguel Hernández
Offering information about the use of citizen’s observations in articles or other scientific work
Creating integrative apps that use data from various sensors that measure environmental factors
Automatic filtering of photos and videos from camera traps and much more.

Each service is unique and responds to specific scientific and technological challenges.

Cos4Cloud is a Horizon2020 project led by ICM-CSIC.

Fifteen organisations from 8 different countries are part of the project. It comprises a network of 9 citizen observatories and Do it Yourself (DIY) initiatives focused on cataloguing and monitoring biodiversity and the environment.

Cos4Cloud is pioneering in the introduction of citizen science in the EOSC

Almost all the services, tools and materials that Cos4Cloud has developed are available in the European Open Science Cloud (EOSC). EOSC will be the reference archive for the European scientific community. For the first time, Cos4Cloud integrates into its cloud services oriented towards citizen observatories. The goal is to improve availability, quality and efficiency in the use of such information. Thus, data from citizen science can gain strength and trustworthiness in academic and political fields.

resources · resources · resources · resources ·

3. THE PROCESS

Co-design and agile methodologies

3. THE PROCESS

Co-design and agile methodologies

The process has been conducted with different communities of citizen science, academia and tech development to adapt each service to the needs of its final users.

CO-DESIGN · CO-DESIGN · CO-DESIGN · CO-DESIGN · CO-DESIGN
COMMUNITY · COMMUNITY · COMMUNITY · COMMUNITY ·
AGILE METHODOLOGIES · AGILE METHODOLOGIES· AGILE

3. THE PROCESS

First stage of the co-design process: understanding

The first activities focused on getting to know the end-users needs and expectations for each service and took place in an early stage of development. Developers used feedback from these users to improve and adapt the services.

Credit: Blanca Guasch.

Example

Cos4Bio

Cos4Bio is an online portal that integrates biodiversity data from different citizen observatories in the same place so that experts who validate the species names save time, as they don’t have to access and validate on various platforms. Moreover, users can download the biodiversity data gathered in Cos4Bio in a standardised form to make their studies or reports. For example, you can download all observations on squirrels from various observatories. Service developed by Bineo Consulting and available in the EOSC.

Cos4Cloud organised two co-design activities that counted on the participation of 39 users with different backgrounds, such as naturalists, researchers and citizen observatories coordinators. These activities aimed to introduce the service to the participants and gather their feedback.

Credit: Pexels.

All the participants' insights were considered by the developers and integrated into the development process of the services when possible. For instance, in the case of Cos4Bio, thanks to the feedback provided by the users, the portal includes a geographical search in its search filters.

Co-design highlights & related news
Credit: Tom August.

3. THE PROCESS

Second stage of the co-designing process: testing

When the services were practically developed, there were activities to test them in real scenarios. The co-design team documented the comments of users about the services to improve some of their functionalities during or after the project.

Credit: Pau Gúzman.

Example

FASTCAT-Edge

FASTCAT-Edge is a smart DIY camera trap. Compared to other cameras in the market, its advantage is that it works with AI, allowing the camera only to capture images of animals and avoids empty photos and videos. It is also capable of detecting images of small and fast animals. This service has been developed by DynAikon.

Cos4Cloud organised a workshop to test FASTCAT-Edge with the FELIS group, a project coordinated by the Catalan Institute of Natural History that uses photo-trap cameras to monitor mammals in the Catalan regions, focusing on wildcats (Felis silvestris).

The workshop was held in the natural park of Sant Llorenç del Munt i l’Obac (Barcelona, Catalonia). The main goal was for the participants to evaluate the FASTCAT-Edge prototype and give feedback. Many of their comments are being integrated into the service.

4. THE RESULT

13 services for the citizen science community

13 services for the citizen science community

Cos4Env

An online portal that integrates environmental data from multiple citizen observatories in one place.

DUNS

A system that helps citizen observatories track how their data have been used and inform their users. For example, if their observations have been used in a scientific article.

Credit: Freepik.
Cos4Bio

An online portal that integrates biodiversity observations from multiple citizen observatories in one place.

Credit: Freepik.
MOBIS

A service to create integrative citizen science apps to report environmental measurements and biodiversity observations.

Credit: Pixabay
Pl@ntNet-API

It allows the integration of Pl@ntNet’s visual identification engine into an app.

Credit: Freepik.
AI-taxonomist

It facilitates the integration of automatic species identification tools into a citizen science platform.

Credit: Freepik.
AI-GeoSpecies

It allows the integration of artificial intelligence into a citizen science app to predict which plant species users will find in a particular area.

Credit: Pixabay.
GBIF-DL

It provides groups of images that help developers train AI to recognise species.

Credit:Freepik
FASTCAT-Edge

A service to make a do-it-yourself smart camera that only takes videos and photos of animals and helps identify the species names.

FASTCAT-Cloud

A website service to filter out videos and pictures from camera traps and only download those which have captured wildlife activity. It also helps identify the name of species.

MECODA

A repository to facilitate analysing and viewing all sorts of citizen science data.

Credit: Miguel Hernández
Authenix

An authentication system that facilitates compliance with the General Data Protection Regulation (GDPR) by citizen observatories.

STAplus

A proposal for a standard to make citizen science data more accessible, interoperable and reusable.

Credit: Pixabay

4. THE RESULT

Educate to promote citizen science

Cos4Cloud has worked on integrating citizen science into the curricula of environmental subjects in Greek schools and creating networks of teachers to promote them. The Environmental Education Lab at the National and Kaprodisiakan University of Athens (NKUA) has led this activity.

In particular, NKUA has organised training events, an online course for school teachers and educational stakeholders and implemented case studies to incorporate citizen science into the teaching practice.

More information, highlighted results and materials

In the onsite activities NKUA has organised, participants have used some citizen observatories and services, such as:

  • Pl@ntNet · Pl@ntNet · Pl@ntNet · Pl@ntNet · Pl@ntNet · Pl@ntNet ·
    Pl@ntNet

    a citizen observatory to report images of plants and helps the user to identify the species. Coordinated by Inria.

  • OdourCollect · OdourCollect · OdourCollect · OdourCollect ·
    OdourCollect

    a citizen observatory to report odours. Coordinated by Science for Change.

  • Minka · Minka · Minka · Minka · Minka · Minka · Minka · Minka ·
    MINKA

    a citizen observatory to report biodiversity observations and environmental variables. Coordinated by ICM-CSIC.

    Credit: Xavier Salvador.
  • Mecoda · Mecoda · Mecoda · Mecoda · Mecoda · Mecoda ·
    MECODA

    A repository to analyse and view citizen science data. Service developed by ICM-CSIC.

4. THE RESULT

Co-design as a service

As a result of the co-design experiences, Cos4Cloud has produced the ‘Co-design as a service: Methodological guide’, which aims that anyone interested in co-design can implement it in their own citizen science or software development projects by following this document. This guide has been led by Science for Change as a result of the co-design process implemented with ICM-CSIC, CREAF and ECSA.

Download the guide

4. THE RESULT

Evidence Hub & Toolbox

To support the sustainability of all knowledge and products that Cos4Cloud has produced, The Open University has created the Toolbox and Evidence Hub, an accessible collection of different resources to highlight and demonstrate the Cos4Cloud results, best practices and lessons learned. It includes: training and capacity building resources, best practice guidelines, educational resources, case studies and a space for reflection on the content provided.

Access the Evidence Hub and Toolbox

4. THE RESULT

Guides and DIY sensor networks

Empowering communities to measure air quality was also part of the project. In the Cos4Cloud framework, Trébola Organización Ecológica, a Colombian foundation, worked with local and regional vulnerable communities to improve the guides to build particulate matter sensors and expand a permanent and mobile network of sensors that contribute with real-time air quality data.

4. THE RESULT

Two policy briefs

Cos4Cloud has produced two policy briefs. The first one is focused on describing how citizen science contributes to the Sustainable Development Goals (SDGs) and the potential of Cos4Cloud’s technology to improve data quality and quantity. The second one is focused on the sustainability of the services developed in Cos4Cloud. Documents led by ECSA.

Credit: Pixabay

To download the materials, documents related to the services and other products that Cos4Cloud has produced, access the community the project has created in Zenodo

DOWNLOAD · DOWNLOAD · DOWNLOAD · DOWNLOAD · DOWNLOAD ·