Supporting the next generation of researchers is an important part of the Funded Cohort Program. We aim to create opportunities for networking, professional development, peer learning, and collaboration across the funded cohort. Activities will be shaped by the interests and needs of the ECR community as the programme develops.
The ECR Programme is open to all ECRs involved in the funded projects.
We intentionally take a broad and inclusive approach to defining an Early Career Researcher, recognising that career stages and definitions vary across institutions, disciplines, and countries. There are no minimum time commitment requirements—participants simply need to be actively involved in one of the funded projects.
To help us coordinate communications, each funded team will be asked to nominate . The representative will act as the main point of contact for ECR-related updates and opportunities, but all ECRs within the projects are welcome to participate in program activities.
SYLFAEN-PSY: SYmptom Learning through Foundation models to Augment and ENhance measurement in PSYchosis
shamiriAI – Scalable, Culturally-Informed AI for Fidelity Feedback and Adaptive Training in Youth Mental Health
ARIADNE: ARtificial Intelligence-based Assessment to Detect iNdividuals with Emerging psychosis risk
AURORA: Adaptive Understanding through Real-time Observation, Reporting, and Assistance
GENSCORE Project: Leveraging Generative AI to adapt and enhance the scoring of widely used mental health assessment tools in low-resource context
AI4You(th): Advancing Generative AI for Personalised and Collaborative Youth Mental Health Care
HAI-Team: Human–AI Teaming Therapeutic Companion for Torture Survivors with PTSD
STELLAR – Steering-Vector Enhanced LLM Agents for Realistic Digital Twins in Mental Health
Julia R Pozuelo / Vikram Patel
Bridging the Treatment Gap with AI-Enhanced Supervision (BRIDGE-AI)
Generative AI for Identifying Mechanisms and Intervention Points in the Intergenerational Transmission of Anxiety
Human-in-the-loop Evaluation of Assisted Depression Screening (HEADS)
Generative AI for Simulated Conversations: Preparing Frontline Workers and Volunteers to Support Youth with Anxiety and Depression
Culturally Aligned Generative AI to Support Para-Counselors in Low-Resource Mental Health Settings
FarajaMH: Culturally Adapted Generative AI Model for Mental Health Screening in Kenya and Tanzania; Leveraging Longitudinal Data, Clinical Notes and Conversational Chats
The programming is intended to evolve alongside the cohort. As we get to know participants and better understand their interests and professional development needs, we'll work together to shape activities that are most valuable.
Examples of activities may include:
- Networking events with ECRs across the cohort
- Professional development workshops
- Peer-learning, journal clubs, and discussion groups
- Mentoring opportunities
- Research spotlights and opportunities to present your work
- Career development sessions with researchers and professionals from academia, industry, healthcare, and the non-profit sector
We'll regularly seek feedback from ECR participants to ensure the program reflects their interests and supports their career development.