Omran NAJJAR is the AI Product Owner in Humanitarian OpenStreetMap Team with 15 year experience in software engineering, information systems, advanced data management and artificial intelligence. Omran holds a MSc in EEE, Computer Science, Turkey (2020) with research thesis and experimental application on Extreme Learning Machine (ELM) algorithms and a MSc in Data Analytics and Information Systems Management, Germany (2023) with research focus on spatial and temporal analysis on OSM - Nepal. Omran has been working in humanitarian and development context since 2014, specialized in monitoring and evaluation, Information and communication technology and AI for social good. Currently, Omran uses that experience to pursue justice, ethical and open source tech to amplify the connection between human[itarian] needs and open map data.


Production release announcement for fAIr, HOT’s AI assisted mapping community service
Anna Zanchetta, Omran NAJJAR, Kshitij Raj Sharma

fAIr is an open AI-assisted mapping service developed by the Humanitarian OpenStreetMap Team (HOT) that aims to improve the efficiency and accuracy of mapping efforts for humanitarian purposes. The service uses AI models, specifically computer vision techniques, to detect objects such as buildings, roads, waterways, and trees from satellite and UAV imagery.

The name fAIr is derived from the following terms:

F for freedom and free and open-source software. AI for Artificial Intelligence. R for for resilience and our responsibility for our communities and the role we play within humanitarian mapping.

The talk will announce the production release of fAIr tool that is available for wider OSM communities, illustrate the academic background and showcase the research developed in recent months to assess how the accuracy of the training process performs, evaluating the accuracy metric currently used and comparing against different metrics scenarios.

Room CA7