Contemporary border security challenges are highly complex and inter-related, requiring more cross-sectoral, transdisciplinary and cross-country cooperation in all risk management phases both at the EU and Member States levels. CRiTERIA project, whose name stands for Comprehensive data-driven Risk and Threat Assessment Methods for the Early and Reliable Identification, Validation and Analysis of migration-related risks, seeks to strengthen and expand existing risk analysis methods, by introducing a novel, comprehensive but feasible and human-rights sensitive risk and vulnerability analysis framework for border agencies. The project launched in 2021 and runs for three years.
In the CRiTERIA project we will seek to strengthen and expand existing risk analysis methods, by introducing novel approaches. Find out more about the CRiTERIA H2020 project, the methodology, as well as the project objectives and goals.
CRiTERIA brings together an interdisciplinary consortium of leading researchers, companies and practitioners from border agencies. The project topic of developing a risk analysis and vulnerability assessment model for the detection of migration-related threats in a well-founded, comprehensive way is indeed a multi-disciplinary challenge and accordingly requires expertise in a wide spectrum of scientific areas. The consortium has been assembled to precisely cover this wide spectrum of required competences.
The CRiTERIA project is organized into 10 work packages, which are structured into 4 tracks: a Foundational Track, a Methodology Track, a Technology Track and an Impact Track. These Work Packages are spread across the 36 months of the project’s duration.
Recently, Vasileios Mezaris, Research Director at the Centre for Research and Technology Hellas, Information Technologies Institute, presented some of the technological aspects of the work
We are launching a dedicated section on CRiTERIA’s project website to list all of the available publications released by the project’s consortium! Please visit the
Our colleagues at Idiap Research Institute recently participated in a CASE22@ EMNLP challenge on Cause-Effect-Signal extraction with two papers addressing the task of (1) identifying
Visit the CRiTERIA project deliverables section to explore the library of public deliverables.
Explore all of the CRiTERIA project’s scientific publications.
