Core Concept: Citizen Science is where Open Science meets public participation. It is prominently displayed on the central screen and the main table sign, complete with a schematic of a telescope, the classic icon of public scientific observation. Citizen Science refers to collaborative research where members of the general public (non-professional scientists) contribute actively to the scientific process.
Detailed Explanation: Citizen Science leverages the power of collaboration and the scale of crowd-sourced input. The Citizen Science display breaks down this process into critical operational steps:
- Community-Driven Discovery (Data Collection): This is the core ‘crowdsourcing’ phase. Citizens contribute observations, data points, or measurements (the telescope icon and community markers on the map show this phase).
- Verified Data & Local Data Validation: Since data is coming from diverse sources, rigorous validation is essential. This module shows user profile verification and a validation checklist. Professional scientists (like those on the wall map) provide oversight to ensure the data is accurate.
- Data Visualization (Real-time and Maps): The final step is making sense of the data. This module uses geographical maps to plot the collected data in real-time.
Importance in Open Science:
- Scalability: Allows data collection on a massive geographical or temporal scale, which is impossible for scientists alone.
- Public Understanding: Directly engages the public, increasing scientific literacy.
- Policy and Action: Can create a groundswell of evidence that drives policy change on critical local issues.
Implementation at UPSI (as per Agenda): UPSI is a pioneer in integrating Citizen Science into its core mission. Our operational plan recognizes that the FAIR data infrastructure being built via RDM is essential to make Citizen Science data valid and useful on a global stage. The initial OS talk series and awareness campaigns are already building partnerships for future Citizen Science initiatives.