enial of access to needed resources, poor understanding of the particular needs of specific people or the personal biases of aid providers.
an function as a first step towards improved service provision.
Predictive forecast-based financing models use machine learning (ML) to trigger the release of funds to communities likely to suffer drought and food insecurity
ensuring programmes provide assistance and services, including information and protection, to the most marginalised people in a humanitarian crisis
ensure not just equal rights but also participation in humanitarian action
digital tools offer the means to effectively scale up responses through better analytics, targeting and efficiency.
powerful aid actors understand crisis-affected people
While some people in crises use social media, digital mapping and other tools to self-organise and advocate for their rights, far more are recorded passively – whether they wish to be or not – by technologies such as biometric identification and satellite imaging
refugees’ biometric data being passed without consent to the government of Myanmar
hile they may be the sources of data about themselves and their communities, affected people often exercise little control over how that data is used
specific and diverse needs
root causes of crises
occur for both deliberate and unintended reason
Digital identity systems
Glasp is a social web highlighter that people can highlight and organize quotes and thoughts from the web, and access other like-minded people’s learning.