Assessing the forecast skill of agricultural drought forecast from satellite-derived products in the Lower Shire River Basin

In 2008 the Red Cross Red Crescent (RCRC) started with Forecast-based Financing pilots to improve existing Early-Warning Early Action systems. Forecast-based financing is a new methodology to prepare, deliver and respond in a more effective and efficient manner, based on hazard forecasts. Actions are triggered when a forecast exceeds a danger...

Detecting Rumors in Twitter for Humanitarian Activities

In this Master Thesis project, the objective is to study how can Supervised Machine Learning be used to detect text-based rumours for humanitarian activities in Twitter. A model was developed in this project in order to classify a tweet at question whether is a rumour or not and whether is relevant to humanitarian activities or not. The findings...

Information-sharing in humanitarian operations in complex disasters: Using Agent-Based modelling to identify policies for improved performance

An agent-based modelling study, which shows the impact of predefined policies on a stylized case study of Syria.

Towards a Governance Structure for the Data-Driven Prioritization of Humanitarian Aid: A data ecosystem approach

The incidence of natural disasters worldwide is increasing. As a result, there is a growing number of people in need, whereas limited resources to help these people are available. It is therefore important to effectively and efficiently prioritize the most vulnerable people in the preparedness phase, and the most affected people in the response...