SENSOR
DATA
INDIGENOUS
Research Question
UCL MAL is a student-led research network exploring innovative methods for anthropological practice. Using tools like sound, film, VR, AI, and performance, it experiments with new ways of gathering and presenting data. The aim is to foster alternative anthropological thinking, engage diverse audiences, and collaborate across disciplines to keep anthropology relevant and dynamic.
Method / Devises
This project partners with indigenous communities in Brazil to develop an AI-assisted biodiversity monitoring system using ambisonic microphones and bioacoustics data. It aims to retrain AI models with indigenous ecological knowledge to address existing biases. The project’s findings will be shared through a public display at UCL’s Grant Museum, an academic symposium, and an edited volume with UCL Press, promoting inclusive, participatory approaches to biodiversity data analysis.
Aim/Impact
This project integrates Indigenous ecological knowledge with AI-assisted bioacoustic analysis to create a more inclusive, ethical model for biodiversity monitoring. It challenges biases in current conservation practices and promotes Indigenous-led, collaborative approaches. Outputs include a peer-reviewed publication, White Paper, and public exhibition, aiming to influence conservation policy, AI ethics, and public engagement while fostering more accurate and socially just environmental monitoring worldwide.
