This joint online event organized by the European Citizen Science (ECS) project talks about the insights, challenges and needs of the citizen science community on data (infrastructure, services and practices) and relates it to the EU-Citizen.Science platform on April 24 and 25, 2024.

Are you struggling with data analysis or visualization in your CS projects? Are you uncertain about handling qualitative data or available tools and infrastructure? Are you struggling with data ownership, policy or ethics? If this sounds familiar to you, don't miss this event! 

You can view the full program here and register here.

LIBER and the ECSA Academy will run a Citizen Science Masterclass for Library Executives in 2024. The two-day programme will be held in-person in Paris from 7-8 May and invites 20 library leaders who wish to kickstart Citizen Science at their institutions.

Citizen science – the involvement of the public in scientific research – is a form of social innovation where the power of the crowd is used to provide new insights and solutions to existing problems. In an urban setting, citizen science has been used for a variety of purposes, including to monitor environmental conditions such as air pollution and greenhouse gases. The webinar will spotlight local efforts in addressing these challenges on the example of five Citizen Science Labs established in Athens, Berlin, Flanders, Plovdiv, and Sofia. COMPAIR use cases will illustrate how a combination of inclusive stakeholder engagement and policy dialogue can turn citizen science into a powerful driver of change in policies and lifestyles.

This is the first webinar in a series of three, organised by COMPAIR to help cities unlock the science.

Affordable sensing devices can widen and deepen air quality monitoring by targeting areas not covered by official measurements. However, low-cost sensors have been criticised for producing data of questionable quality. The webinar will explain how this issue was tackled in COMPAIR using a distant, cloud-based calibration algorithm. Another issue that can affect citizen driven air quality monitoring is network connectivity. Some low-cost sensors depend on specific network standards, such as NB-IoT, for data transfer. During the webinar, COMPAIR will share recommendations for minimising disruption to citizen science in cities where the necessary IoT infrastructure is lacking. Finally, the webinar will show how the integration of diverse data sources, including traffic counts, into citizen science can lead to a more holistic policy impact assessment.

This is the second webinar in a series of three, organised by COMPAIR to help cities unlock the science. 

While access to citizen science data is no longer an issue as many initiatives publish this information publicly, the limited analytical capacity and cross-domain nature of existing tools means that the true value of citizen science data remains unlocked. The webinar will present four advanced applications developed by COMPAIR to help people better understand citizen science data and make informed decisions based on facts. The Policy Monitoring Dashboard shows live data and changes in traffic and air quality before/after a policy measure was introduced. The Dynamic Exposure Visualisation Dashboard measures air pollution while a user is on the move. The Dynamic Exposure VIsualisation App uses Augmented Reality to visualise air pollution in the user's immediate surroundings. And last but not least, the CO2 Calculator estimates an individual's carbon footprint and simulates actions necessary to achieve Green Deal targets.

This is the third webinar in a series of three, organised by COMPAIR to help cities unlock the science.

On September 12, our Citizen Science Network Day will take place again! This year, we are organizing the network day in collaboration with Faro, Histories, and the Africamuseum. Similar to the previous edition, you can expect an inspiring keynote, a series of interesting talks and workshops covering various aspects of citizen science, and a pleasant networking lunch.