Conference Theme

COVID-19 has led to significant innovation in how people and teams work and learn. Simulation and training technology has developed significantly.  Enforced global isolation drove the development of distributed and remote maintenance, training and design even faster.  The Digital Twin philosophy continues to expand; it supports AI and Machine Learning models rapidly iterate.  This, in turn, enables the increased sophistication of training opportunities. 

The expeditious iterative development of AI and Machine Learning, however, contains a risk. For some, AI models are understood as a solution delivery - a platform which provides the user with results and conclusions that they had no part in reaching.  For others,  it is an aid in user-led decision making. There is a need to ensure that the implications of an AI-supported solution are understood by instructors, operators and decision makers.

Gaining more agility, mastering data and systems is one aim of training in any work force – military, public, industry and academia.  This can be achieved by advancements in individualised learning and remote support, through rapid exploitation and deployment of new technologies – key to master the challenges. 

As part of our offering to the Civil First Responder and Crisis Management communities, IT²EC is committed to raising awareness of the opportunities offered by the EU DRIVER+ project.

The project brings together dedicated practitioners from across Europe to help the emergency services to manage critical situations more effectively and efficiently. Using an objective methodology to assess new software, new training approaches and new equipment, DRIVER+ is designed to aid collaboration and interoperability among practitioners and solutions providers.

Watch the video below for more information on the project.