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Participatory Co-Design for Human-Elephant Coexistence: Integrating Local Knowledge into Early Warning System
Balu M Menon1, Tarek Rashed2, Lekshmi Venkitesh P3
1Ammachi Labs, Amrita Vishwa Vidyapeetham, Amritapuri Campus, Amritapuri, India. balu.menon@ammachilabs.org.
Human-elephant conflict (HEC) mitigation in India was enhanced by co-designing early warning systems (EWS). This approach integrates local knowledge with AI-enabled technology for adaptive conservation governance.
Area of Science:
- Socio-ecological systems
- Conservation technology
- Human-wildlife conflict studies
Background:
- Human-elephant conflict (HEC) is a major socio-ecological challenge in tropical regions.
- Agricultural expansion and habitat fragmentation exacerbate human-wildlife encounters.
- Effective mitigation strategies require integrating local knowledge and technological solutions.
Purpose of the Study:
- To co-design early warning systems (EWS) for mitigating human-elephant conflict in Odisha, India.
- To integrate Participatory Rural Appraisal (PRA), Traditional Ecological Knowledge (TEK), and Design-Based Research (DBR) into EWS development.
- To enhance adaptive conservation governance through participatory technology design.
Main Methods:
- Utilized digitized PRA tools for community mapping of elephant movement, crop damage, and risk hotspots.
- Combined local ecological knowledge with geospatial analysis.
- Employed iterative feedback and community validation for contextual accuracy and stakeholder ownership.
Main Results:
- Developed a framework identifying priority locations and temporal windows for AI-enabled camera-based EWS.
- Linked ecological data with social acceptability for effective deployment.
- Demonstrated the value of participatory approaches in conservation technology.
Conclusions:
- Participatory technology design strengthens adaptive conservation governance.
- Embedding community knowledge into decision-making fosters innovation in conservation.
- This approach offers a model for locally led, socially grounded conservation in diverse HEC landscapes.
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