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Poster Short Abstract

Integrating scientific research with citizens’ experiences enriches data and perspectives. Interactive laboratories demonstrate real-time aerosol particle analysis using digital holography, actively involving the public in monitoring and understanding local air quality for informed decision-making

Poster Abstract

Current air quality monitoring often relies on simplified models, graphs, or tables, which may not clearly convey the meaning or potential risk of particulate matter. Innovative approaches, such as digital holography, could provide an immersive way to visualize and analyze aerosol particles in three dimensions. Mobile laboratories equipped with optical benches, vibration isolation systems, and real time 3D visualizations could enable safe observation of experiments while illustrating the underlying scientific principles.

In this proposal, digital holography would divide a laser beam into two paths: one illuminating the particles and the other reaching the camera to record interference patterns. Particles could be held in place using optical traps, and holograms would encode information on their shape, position, and movement. Reconstruction would allow precise 3D coordinates and temporal sequences of particle behavior. Portable air samplers could introduce controlled volumes, ensuring stable conditions during single particle analysis.

Citizens including members of associations, students, and workers could participate by collecting data with low cost sensors and storing it on open-source platforms. These citizen-collected data, combined with more rigorous scientific measurements, would help participants understand the significance of their contribution, the properties of particulate matter, and potential health or environmental risks. Acting as local “eyes,” citizens would also ensure that even remote or underserved areas are represented, allowing these communities to contribute data and have their environmental conditions recognized.

This proposal aims to develop a participatory model that promotes transparency, scientific education, and collaboration between researchers and the public. By integrating citizen contributions with scientific data, it could foster more informed, resilient communities capable of understanding and addressing environmental challenges. While no experimental data currently exist for this approach, it offers a novel pathway for engaging citizens in meaningful scientific participation and enhancing awareness of air quality issues.