Human Security Filter – Open-Source Information
The data sources for the Human Security Filter (HSF) are a mix of official databases and open-source information collected from online news outlets and social
The data sources for the Human Security Filter (HSF) are a mix of official databases and open-source information collected from online news outlets and social
Correlations Indicators Human Security Filter Indicators can be positively correlated (e.g. age is directly correlated with the chances that individual’s mental health is affected), while
The Human Security Filter (HSF) aims to measure a complex, multidimensional phenomenon, which cannot be measured directly. It is constructed by aggregating a number of
For law enforcement agencies, CRiTERIA has developed the following applications aimed at improving the exploitation of open-source information in risk assessment for cross-border threats: Enhancing
OSINT technologies are increasingly used in the field of migration. The reduced costs and increased accessibility of these technologies allow a variety of actors to
Migration is one of the social and political sectors in which perceptions and narratives play a major role, if not pivotal, in guiding public opinion,
The tools and methodologies, which have been developed in the CRiTERIA project, aim to assist analysts in carrying out risk analysis in the field of
One defining element of border security risks is their interconnectedness. There is no unidirectional flow of interconnectedness. Migrant smuggling doesn’t have to be the primary
The next step after having identified, analysed and evaluated the risks involves the identification and reporting of further actions that will assist in managing these
The risk probability matrix, also known as a risk heat map, helps visualize risks based on their probability of occurrence and potential impact. This matrix
MIRROR has received funding from the European Union’s Horizon 2020 research and innovation action program under grant agreement No 832921.
CRiTERIA has received funding from the European Union’s Horizon 2020 research and innovation action program under grant agreement No 101021866.
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