Key Responsibilities Data Platform Design and Architecture
Own the end-to-end conceptual design of the agricultural data platform, including dataset prioritization, data schemas, metadata standards, and interoperability considerations.
Identify critical categories of agricultural data (e.g., agronomic, environmental, behavioral, operational, and outcome-related) required to support AI model development, evaluation, and deployment.
Translate research and operational objectives into coherent data architectures that can be implemented and maintained at scale.
Data Collection and Incentive Design
Design incentive mechanisms and participation models that encourage high‑quality, reliable data contribution from diverse stakeholders, including farmers, implementers, and partner organizations.
Assess trade‑offs between data quality, cost, burden, and coverage, and incorporate these considerations into da...