Preserve Training Platform

PRESERVE Tools: NLP

Module 1: Introduction to PRESERVE

Aim: The aim of this module is to introduce participants to the PRESERVE project and its technological outcome, the PRESERVE tool. The module provides a high-level understanding of the project’s objectives, scope, and operational context, while presenting the PRESERVE tool as a privacy-preserving decision-support system for European Law Enforcement Authorities (LEAs). It highlights how the tool contributes to enhancing law enforcement operations and public safety through advanced Big Data and Artificial Intelligence technologies within a European context.

Abstract: This [FM1] module provides an overview of the PRESERVE project, outlining its purpose, key objectives, consortium collaboration, and role within the European research and security landscape. It then introduces the PRESERVE tool, the main technological outcome of the project, presenting its core functionalities, high-level architecture, and operational use cases.

Participants are introduced to how PRESERVE tool supports Law Enforcement Authorities in combating cybercrime, terrorism, and serious and organised crime by leveraging privacy-preserving Big Data analytics and AI technologies, including Federated Learning (FL) approaches for analysing distributed data sources.

By presenting both the project context and the tool capabilities, the module establishes the foundation for the subsequent training modules which will explore the system’s components, analytical functionalities, and practical applications (considering legal and ethical frameworks) in greater detail.

Target group: Super Admin / Admin / Team Leader / Investigator – Analyst (Standard User)

Learning outcomes:

After the completion of Module 1, participants will be able to:

1.      Describe the purpose and objectives of the PRESERVE project.

2.      Explain the main functionalities and capabilities of the PRESERVE tool.

Identify how PRESERVE tools support law enforcement operations and public safety.

Training methods:

        ·        Self-paced e-learning content

        ·        Visual presentations and system diagrams

        ·        Short explanatory videos

Assessment strategy: After completing Module 1, participants will be required to successfully complete a short multiple-choice quiz, with a minimum passing score of 70%.

Total duration: The duration of Module 1 is 30 minutes.

Module content:

The module is structured into four short learning activities that progressively introduce participants to the PRESERVE project, its tool, and its relevance for law enforcement operations. The activities combine conceptual explanations, practical examples, and visual presentations to ensure that participants gain a clear understanding of the tool’s purpose, capabilities, and operational benefits.

Activity 1: Introduction and Context (10 minutes)

Ø  Overview of current challenges faced by European LEAs in addressing cybercrime, terrorism, and serious and organised crime.

Ø  Introduction to the increasing volume and complexity of data used in criminal investigations.

Ø  Brief explanation of how data-driven and AI technologies can assist LEAs in analysing large datasets.

Ø  Presentation of the PRESERVE project and its main objectives.

Ø  Content and presentation method

The ppt presentation should present and analyze the following:

Ø  Present the current investigative challenges faced by LEAs, particularly in analysing large volumes of digital information.

Ø  Explain why advanced analytical tools are needed to support modern investigations.

Ø  Introduce the PRESERVE project, including its goals, duration, consortium, and European context.

Activity 2: PRESERVE Tool (10 minutes)

Ø  Introduction to the PRESERVE tool.

Ø  Overview of main tools and capabilities provided by the tool.

Ø  Explanation of the types of crime areas and operational scenarios addressed by PRESERVE

Content and presentation method

The ppt presentation should present and analyze the following:

Ø  Present the PRESERVE tool as a decision-support system for LEAs.

Ø  Provide a high-level overview of the tool's main functionalities.

Ø  Explain how the tool helps identify patterns and connections within large datasets.

Ø  Introduce the main use cases and operational scenarios addressed by PRESERVE.

Ø  Clarify what PRESERVE is designed to support and its operational limitations.

Activity 3: Data-Driven Investigations and Privacy-Preserving Analysis (5 minutes)

Ø  Explanation of how PRESERVE uses advanced data analysis and AI technologies to support investigations.

Ø  Introduction to the concept of privacy-preserving data analysis.

Ø  High-level explanation of federated learning and why it is useful for law enforcement collaboration.

Ø  Content and presentation method

The ppt presentation should present and analyze the following:

Ø  Explain how AI technologies can help analyse large volumes of investigative data.

Ø  Introduce the concept of federated learning in simple terms, without technical detail.

Ø  Highlight how PRESERVE enables collaboration between LEAs while protecting sensitive operational data.

Ø  Highlight how privacy-preserving technologies enable secure collaboration and data analysis across LEAs.

Activity 4: PRESERVE in Law Enforcement Operations and Public Safety (5 minutes)

Ø  Explanation of how PRESERVE supports daily law enforcement activities

Ø  Examples of operational benefits for investigators and analysts.

Ø  Short recap of key benefits for LEAs

Content and presentation method

The ppt presentation should present and analyze the following:

Ø  Provide practical examples of how PRESERVE can assist investigations.

Ø  Show how the tool supports operational decision-making.

Ø  Highlight the impact of PRESERVE on improving investigative efficiency and public safety.

Ø  Provide a brief recap of the key concepts introduced in the module.

Module’s assessment: A multiple-choice quiz will be shared with the participants to evaluate their knowledge gained on Module 1.

The quiz will assess participants’ understanding of:

·       the PRESERVE project;

·       the purpose and capabilities of the PRESERVE tool; and

·       the role of AI-supported tools in modern law enforcement operations

A minimum passing score of 70% is required.