Facilitating Climate Resilient Alternative Livelihood Schemes for Vulnerable Communities
Climate Adaptation & Resilience
- 50+ organizations
- 2024-2027
- 12 Publications
Lead: Dr. Sarah Johnson
Summary
Initiated in February 2017 and continuing, this Daahuk-associated project facilitates climate-resilient alternative livelihoods for vulnerable communities in Tanguar Haor, an ecologically critical wetland. It combines boat renovation, skill development, and eco-tourism to empower marginalized groups, turning research into action for self-reliant communities. Awarded PMI South Asia Project of the Year 2023 for its impact, it has trained over 1,000 people and created 500+ jobs. Operating in regions like Sirajganj, Cox’s Bazar, Kurigram, Munshiganj, and Sunamganj, it blends data-driven insights with community solutions, aligning with Development for Profit and sustainability values. Complementary to NRB investment research, it proposes tax incentives and PPPs for resilient growth, fostering inclusion, biodiversity preservation, and economic empowerment through cooperative models and innovative funding.
Key Objectives
- Climate Intelligence: Develop AI systems that forecast and mitigate climate risks in vulnerable regions.
- Social Impact Analytics: Use data to identify inequities and design targeted social interventions.
- Sustainable Development: Support environmental restoration and sustainable resource use through predictive modeling.
- Collaborative Innovation: Build partnerships across sectors to ensure ethical and inclusive AI implementation.
Key Objectives
50+ Organization
25+Countries of operation
100k+Beneficiaries reached
Key Challenges We Aim to Overcome
The project faces several challenges, including limited access to reliable and diverse data, ethical and privacy concerns in AI usage, and difficulties in ensuring transparency and fairness. Collaboration across global organizations can lead to coordination complexities, while technological and infrastructure gaps in some regions may hinder implementation
Data Accessibility and Quality
Obtaining reliable, diverse, and up-to-date datasets from different regions can be difficult
Ethical and Privacy Concerns
Ensuring transparency and fairness in AI decisions is crucial to prevent bias and misuse
Limited Technological Infrastructure
Many developing regions lack the resources, connectivity needed to effectively use AI solutions.
Project Highlights
Explore our journey through impact-driven innovations showcased in our Project Gallery