- About us
- Definitions and Methodologies
We collaborate with IT hubs and develop state-of-the-art digital software that helps to identify, record, and analyse data on people in danger. We make our data available for interesting research. We work on our own digital projects and we are happy to share this technology with others in the research or the aid sector.
AI programmers have developed a “smart panel” which converts text-based descriptions into structured and geo-coded data.
It has been trained through machine learning to understand the key features of a security event. These are checked by a human operator and entered into our database.
We are developing algorithms to find relevant open source information on aid security, attacks on education, healthcare and in IDP and refugee settings.
We enjoy the atmosphere at the Cern. We presented our ideas and challenges at Hackerthorns and were chuffed then the idea for the smart panel won the first price both from CERN and Mozilla in 2015 for this idea.
GluoNNet provides data, intelligence and foresight services to the aid sector. Insecurity Insight works with GluoNNet to explore visual analytic techniques to understand the nature and patterns underlying attacks on healthcare. We are using visual analytics to understand and explore complex connectivity between data. The current Proof-of-Concept explores if existing advanced data analysis techniques are also suitable to extract unexpected insights as well as complex evidence based relations from structured data about violence. If it works, it would allow us to drastically improve the speed and possible amount of data sources that could be analysed. Get in touch if you are interested to find out more.