About UNITAR
The United Nations Institute for Training and Research (UNITAR) provides innovative learning solutions to individuals, organizations and institutions to enhance global decision-making and support country-level action for shaping a better future.Activities by UNITAR
ML4Floods
Global BangladeshDjiboutiGuyanaLao People’s Democratic RepublicMozambiqueMyanmarNepalSouth SudanSudanUNITAR-UNOSAT partner with Trillium Technologies and FDL Europe to test and use ML4Floods: an ecosystem of data, models and code pipelines to tackle flooding with machine learning ML. After a successful testing phase of the methodology, UNOSAT is implementing ML4Floods into its operations and deploying the tool into the UNOSAT AI pipeline at CERN.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsUNOSAT S-1 FloodAI
Global NepalThe UNITAR-UNOSAT designed, developed, and deployed UNOSAT S-1 FloodAI: an end-to-end pipeline where Copernicus Sentinel-1 Synthetic Aperture Radar (SAR) imagery of flood-prone areas are automatically downloaded and processed by a deep learning model to output flood vector data and update operational dashboards.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsOnline Certificate in Artificial Intelligence and Professional Skills
Global Not ApplicableUNITAR launched a flagship educational initiative aimed at fostering inclusive and future-ready professional skills: the Online Certificate in Artificial Intelligence and Professional Skills. This pioneering programme addresses the urgent global need to bridge the digital divide by equipping participants with both foundational knowledge and practical competencies to leverage artificial intelligence effectively across sectors. The programme actively promotes equitable access by offering scholarships and fee waivers to participants from Least Developed Countries (LDCs) and Small Island Developing States (SIDS).
Activity Type Trainings/WorkshopsMapping Refugee Settlement and Damage Assessment with Machine Learning and Remote-Sensing Data
Global MyanmarNepalThe purpose of this project is the creation of an end-to-end pipeline that takes high-resolution satellite imagery as input and returns damage assessment maps in the form of a building footprint together with a damage class label.
Activity Type AI Tools/SolutionsResearch/Reports/Assessments