AI-Powered Multi-Stakeholder Ecosystems for Global Development: A Design Research Study on the GSI D-Hub Proof-of-Concept Platform

A multi-university research team has published a design study on the GSI D-Hub, a novel AI-powered platform aimed at solving coordination problems in global development. The platform addresses the chronic issue of fragmented data and limited transparency that hinders collaboration between organizations deploying solutions, those providing them, and the entities funding them. By applying explainable artificial intelligence (XAI) for transparent matchmaking, the D-Hub uses structured data models and interpretable algorithms to reduce information asymmetries and improve overall data quality, creating a more trustworthy digital ecosystem for multi-stakeholder projects.

The research, following a design-science methodology, involved developing and validating the platform with real stakeholders from development, technology, and finance sectors. Key findings show that the system's explainable recommendations and contextual dashboards significantly enhanced user trust, platform usability, and confidence in decision-making. The study contributes to data mining and governance research by demonstrating how verifiable algorithms can enable scalable collaboration. The D-Hub proof-of-concept represents a potential blueprint for future data-driven coordination platforms that prioritize transparency and trust in complex, mission-critical fields beyond global development.