GRACE

Global Response Against Child Exploitation

Objective

GRACE will apply proven techniques in machine learning to the referral and analysis process while embracing the very technical, ethical and legal challenges unique to fighting child exploitation. GRACE will leverage resources already in place at EUROPOL and its Law Enforcement Agencies (LEAs) and attempt to provide results early, frequently and flexibly.

Impact

By applying Federated Learning approach to the challenge of optimising analysis and information flow, GRACE will enable cooperation between LEAs in improving their own capabilities and harness experiential knowledge. The results of GRACE will be handed back to EUROPOL and LEAs for unrestricted use in their missions, helping to ensure their future technological autonomy.

INOV Participation

• In project GRACE, INOV leads the data handling work package, delivering data acquired from external sources for processing and analysis. They ensure integration, consistency, and coherence of the data.
• The outcomes of the work package are combined in the Data Handling Framework, which orchestrates the operations of implemented modules and performs pipelines with a sequence of steps for data handling. These steps include data acquisition, preprocessing, semantic mapping, and loading.
• INOV is currently focused on preparing for the 4th workshop, where they aim to collect valuable feedback from LEAS and other stakeholders. The workshop will provide an opportunity to gather feedback on the developed frameworks and tools, ensuring they meet the requirements and expectations.