Citizen science encompasses a wide variety of kinds of projects that produce data — from community science activities to public participation in scientific research. A goal of the scientific process is to produce unbiased, transparent, and reproducible data, regardless of who is doing the work and when it is occurring. A quality assurance project plan, or project plan, provides the framework to produce these type of data, increasing the chance they can used for their intended purpose and maximum impact. Join this webinar to learn how citizen science groups have successfully integrated quality assurance approaches into their projects to help answer their community’s environmental and public health questions.
Citizen science provides an opportunity for government agencies to expand data collection efforts in collaboration with community members to answer environmental and public health questions. Citizen science encompasses a wide variety of projects — from community science activities to public participation in scientific research. One of the best ways government agencies may contribute to these projects is to provide quality assurance guidance so the project data can be used for their intended purpose. Join this webinar to learn about successful state/federal agency-citizen science group collaborations and quality assurance resources to support these efforts.
Foldable and 3D printed microscopes are broadening access to the life sciences, low-cost and open microprocessors are supporting research from cognitive neuroscience to oceanography, and low-cost and open sensors are measuring air quality in communities around the world. In these examples and beyond, the things of science – the physical tools that generate data or contribute to scientific processes – are becoming less expensive, and more open.
Recent developments, including the extraordinary response to COVID-19 by maker and DIY communities, have demonstrated the value of low cost and open source hardware for addressing global challenges. These developments strengthen the capacity of individual innovators and community-based organizations and highlight concrete opportunities for their contribution to science and society. From a policy perspective, work on low-cost and open source hardware– as well as broader open science and open innovation initiatives– has spanned at least two presidential administrations.
- Web Tools for Sensor Data – Graeme Carvlin, Puget Sound Clean Air Agency
- Public Institutions and Trust: Developing Community Data Assets – Angela Eaton, Safecast
- Mapping hyperlocal air pollution to drive clean air policies – Harold Rickenbacker, Environmental Defense Fund
- PurpleAir Discussion – Adrian Dybwad
- Open-seneca: development of a low cost air quality sensor network and its implementation to measure PM2.5 in the city of Buenos Aires, powered by citizen science – Peter Pedersen, University of Cambridge
- Development of a method for local health jurisdictions and schools in WA to use low-cost monitors for wildfire smoke preparedness – Orly Stampfer, University of Washington