Accepted Poster
Poster Short Abstract
CoMMSenso empowers citizens through composting, sensors, and an open, replicable architecture, democratizing monitoring and transforming waste into resources. Merging science and art, it turns environmental data into abstract images, fostering sustainability and social engagement.
Poster Abstract
In the context of the Anthropocene and the climate emergency, citizen science emerges as an essential tool to expand environmental knowledge, particularly in places where traditional monitoring is scarce. CoMMSenso: Awareness, Hands-on Practice, and Sensors with Organic Waste Composting exemplifies how accessible technology and community participation can generate relevant data and foster a more inclusive science, while uniting science and art by transforming data into abstract images of cultural engagement.
The project focuses on organic waste composting, converting refuse into fertilizer and empowering citizens as active environmental monitors. Its proposal is articulated around three axes: (i) Awareness, through educational activities on composting; (ii) Hands-on Practice, involving direct community engagement; and (iii) Sensors, the technological core of the project.
In this last axis, ESP32 hardware, the MQTT protocol, and REST APIs are employed for real-time monitoring and scalable data storage. The distinctive feature lies in a democratizing approach: anyone can configure and operate sensors, access results, and participate in data collection without technical barriers, thereby strengthening participatory monitoring. Moreover, it innovates by converting numerical data into abstract images, broadening access to science and establishing bridges between ecology, society, and culture.
With an open, flexible, and replicable architecture applicable to different contexts (air quality, water, noise, among others), CoMMSenso broadens impact, democratizes innovation, and strengthens community resilience, illustrating how technology and art can come together in pursuit of a sustainable future.
Poster Session