AI and Childhood Lab Research Fellowship

Shaping the Future of Childhood in the Age of Artificial Intelligence

Bringing together researchers, advisors, and thought leaders to understand and guide how AI shapes children’s development, learning, and wellbeing.

Featured Researchers

Meet some of the distinguished scholars and advisors shaping our understanding of AI’s impact on children worldwide.

Our Mission

We bridge developmental science and technology, translating complex findings into actionable insights for families, educators, policymakers, and technologists.

Who We’re Looking For

We bridge developmental science and technology, translating complex findings into actionable insights for families, educators, policymakers, and technologists.

Early-career scholars exploring AI’s impact on childhood through fresh perspectives and emerging methodologies.

Experienced researchers bringing deep expertise from psychology, education, computer science, neuroscience, public health, ethics, and related fields.

Technical specialists developing AI systems who want to understand their real-world effects on young people.

Practitioner-researchers working in NGOs, governments, or international organizations addressing AI and child welfare on the ground.

Interdisciplinary thinkers bridging multiple fields to tackle questions no single discipline can answer alone.

We especially encourage applications from researchers in the Global South and those bringing diverse cultural perspectives to ensure our work reflects children’s experiences worldwide.

Apply Now

Whether you’re an early-career researcher, established scholar, curator, or strategic advisor, we welcome your participation in shaping AI’s impact on childhood.

You’ll be able to indicate your preferred role in the application

Fellowships are open to:

Fellowships will be offered on an annual or biannual basis with flexible participation (approximately 2–4 hours per month)

Fellows will gain:

Scholars in the Global South

We especially welcome applications from scholars in the Global South and from underrepresented groups, recognizing that diverse perspectives are essential to understanding AI’s effects on all children — not just those in well-resourced settings.

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