WP7 — Dissemination, Exploitation, and Communication

Overview

WP7 ensures that the project’s results, tools, and methodologies achieve visibility, sustainability, and real-world adoption.
It covers four main pillars:
(1) project promotion and public communication,
(2) integration of IPCs into health systems,
(3) development of sustainable business models, and
(4) scientific dissemination through peer-reviewed publications and international conferences.

Together, these activities support the long-term impact and scalability of the IPC4MH initiative across healthcare and research ecosystems.


Objectives

The objectives of WP7 are to:

  1. Promote the project and ensure visibility across professional, industrial, and public audiences through diverse communication channels (website, flyers, events, and media presence).
  2. Prepare for large-scale adoption and integration by defining pathways for the deployment of immersive prevention centers (IPCs) in healthcare systems.
  3. Develop sustainable business models and explore commercialization opportunities in collaboration with industrial partners.
  4. Conduct public health and data studies assessing the societal impact of IPCs and their interoperability with health information systems.
  5. Disseminate scientific findings to the academic community through peer-reviewed publications and conference presentations.

These objectives aim to ensure that IPC4MH’s innovations are not only validated but also economically viable, ethically sound, and clinically integrated.


Summary

WP7 ensures that the IPC4MH project’s outcomes extend beyond research into practice, policy, and market adoption.
By combining communication, integration, exploitation, and dissemination, it creates the conditions for long-term sustainability, knowledge transfer, and European leadership in immersive digital mental health.
This work package positions IPC4MH as a benchmark for translational innovation, bridging scientific rigor, healthcare utility, and societal impact.


Antoine Widmer
Antoine Widmer
Professor of Computer Sciences

My research interests include eXtended Reality (XR), Computer Vision and Artificial Intelligence.