AI and Childhood Lab Research Fellowship
The Childhood & AI Lab Research Fellowship brings together innovative scholars investigating how AI affects children’s cognition, learning, social relationships, mental health, creativity, identity, autonomy, and overall development and wellbeing.
Program Overview
The fellowship expands the number of researchers whose work advances our understanding of how AI shapes attention, learning, creativity, social development, and decision‑making in children and adolescents. Fellows bridge developmental science and technology to translate findings into actionable guidance for families, educators, policymakers, and technologists. The community is intentionally cross‑disciplinary—cognitive scientists learn from computer scientists; ethnographers inform neuroscientists; education researchers collaborate with ethicists—so ideas evolve faster and travel farther.
Who Should Apply
- Early‑stage researchers studying AI’s effects on children.
- Mid‑career & senior researchers bringing disciplinary expertise (e.g., psychology, education, public health, computer science, neuroscience, ethics) to questions of AI and childhood.
- AI experts & technical researchers interested in how systems are used by children (e.g., model evaluation, red‑teaming).
- Practitioner‑researchers in NGOs, UN agencies, government, or allied institutions conducting applied research in the field.
We strongly encourage applications from researchers at all career stages and from the Global South; diversity of perspectives and methods is essential to the mission.