Some funders want evidence-based solutions but also need to take risks on emerging innovations that could transform crisis response.
Funding must balance immediate needs with sustainable, systems-level change.
Accessing the high-resolution imagery required for humanitarian responses can be a fragmented, expensive and inefficient process—and a shared common understanding is rare. Further, integrating geospatial data into existing workflows and systems is challenging, particularly in terms of standardizing data collection, storage and analysis methods within and across organizations. Finally, access to EO data and the necessary technical support varies greatly across different national societies and humanitarian organizations. This disparity can hinder the effective use of EO data in less resourced settings.
Large foundations often have complex strategies and layers of approval, delaying critical funding decisions.
As seen with the effective dissolution of USAID, who are often a partner to these groups
