Computer and data scientists often imagine an ideal world where data insights are fully realised, privacy is absolute, and individuals have complete control over their data. Yet, today’s reality is far from this vision. Governance and artificial intelligence actors often lack coordination, and ethical principles like privacy and data protection are frequently overlooked due to insufficient or ambiguous standards. Meanwhile, data collection, reuse, sharing, and linking continue without clear oversight or responsible storage practices.
In this project, we address these challenges by focusing on data visualisation, control, and privacy in the mental health sector. Mental health data are often inaccessible or deleted, leaving clients without insights into their progress. Yet, tracking this dynamic phenomenon over time is crucial for personal growth, especially when switching providers or moving across borders.
Our interdisciplinary team will develop an interactive visualization dashboard to enhance understanding of mental health data. Co-designed by clients, support networks, and healthcare professionals, this tool empowers users to gain insights, foster collaboration, and improve continuity of care. By making mental health data visible to the primary stakeholder—the client—we aim to support better outcomes and more effective interventions.
Team members
Sanne Schoenmakers (TU/e)
Angelos Chatzimparmpas (UU)
Sam Muller (UMCU)