About The proposed project aims to tackle unsustainable water management practices impacting farming practices and address nutritional insecurity in Ratanpur in Bhojpur district, Bihar. The first part of the project. . .
About The BWEF-Learnings Project examines how shocks and disasters affect the interconnected biodiversity, water, energy, and food (BWEF) systems, highlighting the need to move beyond siloed approaches to resilience. Drawing. . .
Objectives: To study the adoption of technology in rural populations from the dimensions of access, awareness, attitude, and exposure. This includes assessing the effective adoption of emerging technologies like conversational. . .
Objectives: Develop a qualitative AI-driven framework to assess vulnerabilities through narratives, interviews, and feedback that complements the human-coded qualitative methods. Research Questions:
Objectives: Develop and evaluate AI-driven methodologies for assessing the impact of social interventions through language-based analysis. The research will address challenges related to contextual understanding, ethical considerations, and bias in. . .
Research Project: Develop an evidence-based implementation framework to position seaweed cultivation and value-added soap production as a sustainable livelihood model, while addressing both economic viability and environmental sustainability. Core Research. . .
Research Project: Validating the Use of a Mobile-Based Implementation Monitoring Tool to Strengthen Intervention Fidelity and Adaptive Learning in Community-Based Programs Core Research Questions Project Team: Aswathi P., Lekha S.,. . .
Research Project: AI-Driven & Digital Decision Support for Scaling and Sustaining Evidence-Based Interventions in Rural Development Evidence-based interventions (EBIs) have proven effective in controlled settings but often struggle to scale. . .
Preventable blindness caused by cataracts and uncorrected refractive errors remains a significant community health problem throughout rural Africa. Eye conditions in rural regions are disproportionately common due to factors such. . .
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