June 15, 2026

Recent political developments in late 2024 have contributed to a rapidly evolving humanitarian operating environment in Syria. These changes have coincided with efforts to reconfigure coordination arrangements and strengthen in-country leadership, while humanitarian needs remain severe, with an estimated 16.5 million people in need for assistance. The operational landscape continues to be characterized by access constraints, security risks, and significant regional disparities in coverage. A consortium composed of iMMAP, CartONG, MapAction and Humanitarian OpenStreetMap Team (HOT) has initiated a multi-partner approach to strengthen the Syrian humanitarian data ecosystem. This initiative is implemented under the Humanitarian-to-Humanitarian (H2H) framework and is designed as an enabling service to the broader humanitarian system. It does not replace existing coordination, information management, or assessment structures, but rather strengthens the ability of local and national actors to collect, manage and utilize ethical and interoperable data.

June 15, 2026

A case study on the Humanitarian Helpdesk transforming Information Management in Syria. This publication was written and produced by Medical Aid Films (an H2H Network member organization).

June 15, 2026

Under the H2H Network Syria project, we developed a Cropland Fire Risk Map in support of the Ministry of Emergency and Disaster Management (MoEDM) to identify agricultural areas most vulnerable to fire incidents across Syria. The analysis integrates historical fire occurrence data (2018–2025), land surface temperature, soil moisture, and 2026 cropland layers to highlight areas at increased risk. The resulting information product supports preparedness planning, risk reduction efforts, and evidence-based decision-making to help protect agricultural livelihoods and strengthen national disaster management capacities.

June 15, 2026

Under the H2H Network Syria project, we developed a Cropland Fire Risk Map in support of the Ministry of Emergency and Disaster Management (MoEDM) to identify agricultural areas most vulnerable to fire incidents across Syria. The analysis integrates historical fire occurrence data (2018–2025), land surface temperature, soil moisture, and 2026 cropland layers to highlight areas at increased risk. The resulting information product supports preparedness planning, risk reduction efforts, and evidence-based decision-making to help protect agricultural livelihoods and strengthen national disaster management capacities.