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Event

LOCARD Training Sessions
Title:
LOCARD Training Sessions
When:
Fri, 21. January 2022 - Mon, 31. January 2022
Where:
Virtual Meeting
Categories:
Research, Innovation, Fight Against Crime and Terrorism, Border Security, Digital Security, Network Security Practices

Description

LOCARD training sessions will take place next January 21, 28 and 31. The 4 sessions aim to show the platform and its most relevant functionalities developed throughout the project. A summary of the sessions is given below:

  • Session 1: Introduction to LOCARD (21/01/2022): In the introductory session the main concepts of the LOCARD project are going to be presented along with a high level view of the LOCARD system.
  • Session 2: The LOCARD Platform (28/01/2022): In this session, the LOCARD platform is going to be presented along with its most relevant functionalities. Attendees will be able to understand how the platform operates with regards to creating a case, adding evidence and managing the evidence life cycle.
  • Session 3: The LOCARD tools (1/2) (28/01/2022): Attendees will have the opportunity to understand how LOCARD tools are operated in order to process the evidence, create reports and submit those reports to the LOCARD platform. Amongst others, in this session we will present a tool that works with AI whose objective is to determine suspicious behaviours of potential paedophiles in social networks.
  • Session 4: The LOCARD tools (2/2) (31/01/2022): More tools will be presented. Attendees will have the opportunity to understand how LOCARD tools are operated in order to process evidence, create reports and submit those reports to the LOCARD platform.

Since most of the information that will be shared is confidential, attendance to sessions 2, 3 and 4 will request to read and accept the conditions of our Non-Disclosure Agreement available during the registration process. 

Click HERE to download the agenda in PDF version.


Venue

Location:
Virtual Meeting
Slide 1
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EU flag Copyright © 2019 - 2022 LOCARD. All rights reserved. This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement nº 832735. This project reflects only the author’s view and the Commission is not responsible for any use that may be made of the information it contains.