The Association of Feto Enginhera, based in Timor-Leste, has actively joined the Humanitarian OpenStreetMap Team program, demonstrating a commitment to supporting small islands, particularly in the context of Women-Centered Disaster Resilient in Small Island Development State (Timor-Leste) this project focus on mapping for natural disasters and climate change to support Small State Island like Timor-Leste. This initiative also aims to accelerate the involvement of women in open mapping activities related to natural disasters. Through this project, FE collaborated with the Association of Geographic Information System Group (G-SIG), on three-month training program, consisting of three meetings held at the Farol Dili Human Rights (HAK) office.

Commencing in May, the training sessions commenced by introducing participants to open mapping using OpenStreetMap, highlighting its benefits in addressing natural disasters such as floods, climate change, and landslides. Despite the limited duration of three meetings, the G-SIG data team provided a comprehensive curriculum covering mapping using OpenStreetMap in ID Editor, Tasking Manager, and Java OpenStreetMap (JOSM). Approximately 25 women, all with an engineering background, actively participated in this training, showcasing remarkable adaptability to OSM technology for open mapping in the context of natural disasters.

Throughout the training, emphasis was placed on imparting knowledge about OSM basics and advanced digitization, as well as tagging concepts. Special attention was given to data entry into OpenStreetMap, leading to data visualization and the publication of results or maps.

In the final session, the G-SIG team provided additional training on analyzing data from OpenStreetMap, utilizing open-source software such as Quantum GIS (QGIS), and the uMap website. This training aimed to empower them with the understanding that the data contributed to OSM can be utilized for various purposes, including responding to flood disasters. The goal is to encourage correct interpretation, utilization, and improvement of this data for diverse needs, thereby enhancing the resilience of communities in the face of natural disasters.