Open data for disaster risk reduction

Free, community-friendly tool makes it easier for scientists to model how electromagnetic waves affect high-energy particles in space.

The Humanitarian OpenStreetMap Team wants to get the software and knowhow to would-be mappers everywhere, so they can better prepare for and respond to climate-related disasters – and make a living by deploying their new skills.

These documents are part of the UNESCO Open Science Toolkit, designed to support the implementation of the 2021 UNESCO Recommendation on Open Science.

This project develops guidance and tools for data policy in times of crisis facilitated by open science. It focuses on providing the following contributions to the UNESCO Open Science Toolkit.

An international team of 12 researchers across six institutions have recently made valuable enhancements to pyCSEP; a quintessential open-source software package used to develop and evaluate earthquake forecasting experiments.

What if the place you were looking for could not be found on any map? Not because it's hidden, but because it was never mapped. And what if people in need were living in unmapped places?

The present study proposes a methodology to map the flood physical vulnerability and applies it using an index at urban parcel scale for a medium-sized town (Ponferrada, Spain).

This study explores the use of geospatial information, specifically open-access spatial data, and the implementation of the Sendai Framework for Disaster Risk Reduction 2015-2030, a framework designed to manage disaster risk

Without open data and open science, communities will be left out of important conversations and in the dark.