Using the CRiTERIA tools to carry out better risk assessment in the context of border security
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
This section focuses on understanding the different roles that machines and humans play in the process of producing risk analysis using open-source information (with a special focus on social media). The section will mainly use literature review to understand the state-of-the-art in automatic different components of [intelligence] analysis such as source verification, content integration, risk identification etc. Artificial intelligence is already used in intelligence analysis to label imagery and sort through large sets of data, thus helping individuals identify the patterns in the noise. This section will look at how AI may change work for intel analysts, especially in what concerns analytical products based on open source information.
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
Below we try to give an overview of some of the most salient technical limitations of OSINT integrations we faced in project CRiTERIA: Compliance with
The role of the media in shaping public debate on political issues is paramount. News organizations serve as primary sources of information, providing context, analysis,
Migration related semantic concepts (MRSCs) are a set of concepts related to the issue of migration, such as: law enforcement, political instability, war, natural disasters
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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