Visualization for Riesgo

Repository for the Open Data for Resilience Index, a website to track and improve the state of Open Data for Resilience worldwide.

Machine learning-assisted Python tool for landslide susceptibility mapping and uncertainty analysis.

The Risk Data Library Standard (RDLS) is an open data standard to make it easier to work with disaster and climate risk data. It provides a common description of the data used and produced in risk assessments, including hazard, exposure, vulnerability, and modelled loss, or impact, data.

Official repository for the AuroraAxiom project.

Streamlit Dashboard for the EM-DAT Data

This repo consists of the codes used for a paper titled "DISFUNCTIONALITY HAZARD: A RISK-BASED TOOL TO SUPPORT THE RESILIENT DESIGN OF SYSTEMS SUBJECTED TO SINGLE HAZARDS AND MULTIHAZARDS."

DROPEX (Disaster Rescue Operation and Probing of EXpert Drones) is Disaster Risk Management Project developed to perform optimized and autonomous rescue operations to overcome the comebacks of traditional manual operations or even traditional drone operations.

WordPress code for RiskProfiler.ca, developed by HabitatSeven

SSRS RO4 - Disaster Research Group is a research group of IPB SSRS Association

An ongoing & curated collection of awesome software best practices and techniques, libraries and frameworks, E-books and videos, websites, blog posts, links to github Repositories, technical guidelines and important resources about Business Continuity and Disaster Recovery in Cybersecurity.

A python package to make easier modelling hazards and risk changes

OpenSendaiBench: A benchmark dataset for building exposure and vulnerability dynamics

This project aims to order, structure, preprocess, analyze, and try to feed the data to a Machine Learning model to find statistics and meaningful numbers that can help us predict the what, when, and where of the occurrence of the upcoming Catastrophes.

Index-based multi-hazard vulnerability assessment methodology for churches

A prototype disaster preparedness game in C#/MonoGame.

Integrates data from various sources to provide comprehensive insights into floods, leveraging spatial analysis, advanced summarization, and real-time data visualization.

A working repository for the PhD research project on auditing the global disaster risk to assess whether countries are making progress on the Sendai Framework from the perspective of probabilistic catastrophe models and artificial intelligence