AI enables an intelligence architecture that links the observation, cognition, and decision layers, leading to anticipatory governance. The greatest contribution of AI lies not in accelerating disaster response but in enabling earlier interventions that prevent losses before hazards translate into disasters.
This paper discusses a new approach to integrate behaviour change theories and social values of natural resources (here mahseer) into the conservation planning
This chapter looks at the relationship between inequality, labour migration and development in India. It examines migration-inequality-development relationship with a focus on those who are left behind in the process of structural economic transformation and livelihood change in India. While recent years have witnessed substantial rise in labour mobility in India, socio-economic inequalities often mean migration options are not available to all individuals and households, nor are the outcomes same for all members of the participating households.
Coastal risk is no longer about a single hazard. It is about cascading failures across interconnected systems. Across the Indian Ocean and Asia-Pacific, earthquakes, tsunamis, cyclones, sea-level rise, and extreme rainfall are increasingly interacting to create compounding and systemic risks. These is a need to shift toward anticipatory risk governance, powered by: Earth Observation, AI/GeoAI, Digital twins and Impact-based early warning systems. Because resilience is not about stopping the waves. It is about preventing one crisis from triggering many others.