Agricultural Insurance Risk Assessment
- Assess agricultural and environmental risks affecting farmers, crops, and agricultural value chains.
- Analyse climate-related risks and their implications for agricultural insurance products.
- Support the identification and characterization of key risks across different agroecological zones and farmer segments.
Insurance Product Development
- Review existing agricultural insurance products and risk models under the Uganda Agricultural Insurance Scheme (UAIS).
- Contribute to the design and refinement of climate-sensitive and fit-for-purpose agricultural insurance products.
- Support the development and validation of prototype insurance products using integrated climate, agricultural, exposure, and historical loss data.
Premium Calculation and Pricing
- Develop and/or validate premium calculation approaches using relevant agricultural, climate, and historical loss information.
- Provide technical inputs to improve pricing accuracy and reduce uncertainty in agricultural insurance underwriting.
Loss Modelling
- Develop, review, and validate agricultural loss models using historical loss, climate, exposure, and agricultural data.
- Analyse relationships between climate events and agricultural losses to support more accurate risk estimation.
- Contribute to reducing basis risk through improved risk modelling and product design.
Climate and Agricultural Data Interpretation
- Interpret meteorological, hydrological, agricultural, and economic data relevant to agricultural insurance.
- Translate climate indicators and agricultural datasets into actionable insurance-risk insights.
- Support the integration and interpretation of climate indicators such as rainfall anomalies, vegetation stress, soil moisture and evapotranspiration in insurance applications.
Risk Scoring and Exposure Analysis
- Provide technical inputs to risk-scoring methodologies for farmers, crops, portfolios, and geographical areas.
- Support farmer segmentation and exposure modelling to enable differentiated insurance solutions.
- Contribute to analytical tools that assess risk at farmer, portfolio, and national levels.
Decision-Support Tools
- Provide insurance-sector requirements and technical inputs for the development of CDP decision-support tools.
- Support development of tools for insurance product design, pricing, risk assessment and risk-sharing.
- Review and validate the assumptions, methodologies and outputs of insurance-related analytical models.
Reinsurance and Risk-Sharing
- Provide technical inputs to evidence-based reinsurance and risk-sharing frameworks.
- Support analysis of portfolio risks to inform reinsurance arrangements and capital allocation.
- Contribute to recommendations on layered reinsurance structures, public-private pooling mechanisms and subsidy models.
Pilot Testing and Validation
- Participate in testing the Climate Data Platform and decision-support tools in the selected pilot districts.
- Validate whether the platform's outputs are relevant and practical for agricultural insurance applications.
- Participate in stakeholder validation workshops with insurers, regulators and value-chain actors and incorporate agreed feedback.
Stakeholder Engagement and Knowledge Transfer
- Work closely with stakeholders, insurers, regulators and other relevant actors to understand agricultural insurance requirements.
- Support knowledge sharing and capacity building on the interpretation and application of climate and agricultural insurance data.
- Contribute to training materials and practical guidance for users of the platform.
Technical Reporting and Recommendations
- Provide technical inputs to inception reports, pilot testing reports, use-case reports and other project deliverables.
- Document lessons learned and provide recommendations for improving agricultural insurance applications.
- Contribute to the development of the national scale-up strategy for the Climate Data Platform.
