Applications: GLOSI has been applied in Mexico, Nepal, Colombia, El Salvador, Peru, Uruguay, Angola, Burkina Faso, Dominican Republic, St Lucia, Nepal, Kyrgyz Republic, Uzbekistan, Philippines, Cambodia, Indonesia, Iraq, Vanuatu, Tonga, Cabo Verde, Pakistan
Data requirement: School infrastructure baseline data, hazard data
Final deliverables: A report and catalog of the main building types in a portfolio, where each building type is labeled according to several key structural attributes defined by the GLOSI taxonomy system. The taxonomy identifies the critical structural attributes that impact the school performance for a specific hazard. A report summarizes the key parameters for each building type, provides insight on the vulnerability and risk analysis for each building type, and offers risk reduction strategies with input from a growing library of past case studies. This structural information informs future risk reducing investment plans.
Geographic scope: National, sub-national
Hazards covered: Multiple hazards
Indicative Cost / working time: Case by case
Methodology peer-reviewed, cleared (date)?: Yes - published 10/19
Time Required for delivery: 10-12 months (depending data available, country context
The Global Library of School Infrastructure (GLOSI) is a live repository of evidence-based knowledge and data about school infrastructure and how it performs in the face of natural disasters. The global library provides governments and development partners with the tools to assess disaster risk in the education sector and effectively design school infrastructure investment plans, in support of the actions outlined in the Roadmap for Safer and Resilient Schools.
