UNOSAT, in collaboration with UN Global Pulse and Google Research through the DISHA initiative, implemented SKAI, an AI-assisted Damage Assessment Solution that transforms infrastructure damage assessment. The solution leverages three advanced models: Open Buildings for structure detection, SKAI Zero-Shot for rapid damage identification, and SKAI Fine-Tuned for precise classification of building damage.
Activity Type AI Tools/SolutionsResearch/Reports/AssessmentsUNITAR-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/AssessmentsUNITAR 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/Workshops
Artificial Intelligence for Learning Professionals is a self-paced online course designed to strengthen the capacity of learning designers, trainers, programme officers, and educators to integrate generative AI into the design and delivery of learning and capacity-building initiatives.
The course provides a comprehensive, hands-on approach to generative AI tools, prompt engineering, ethical and responsible AI use, and applied workflows for learning design. Participants learn how to use AI purposefully across the training cycle, from needs analysis to content creation and evaluation, while maintaining a human-centered, ethical, and context-aware approach.
Through five structured modules, the course supports both conceptual understanding and practical application, enabling professionals to enhance creativity, efficiency, and instructional quality using AI.