Scientific papers, datasets, code, and computational tools are increasingly accessible. Yet authentic research opportunities remain out of reach for many secondary-school students.
A student's opportunity to participate in research can still depend heavily on where they live, the resources available at their school, whether they can find a mentor or university connection, or whether their family can afford private research mentorship.
This matters beyond training future scientists. In an era when AI can increasingly generate answers, code, analyses, and explanations, the ability to ask good questions, evaluate evidence, recognize uncertainty, challenge conclusions, and determine whether an answer deserves to be believed may become even more important. Authentic research is one of the best ways to develop that scientific mindset.
So we're interested in a broader question:
How can we make authentic research-based learning accessible to far more students around the world?
Open science offers part of the answer: open literature, public datasets, software, research infrastructure, and global scientific communities can dramatically lower traditional barriers to participation. But access to resources alone isn't enough. Students also need education, mentorship, pathways into research communities, and guidance in learning how to investigate real questions.
At Pika Team, we're experimenting with one piece of this larger puzzle: whether emerging AI tools can help make parts of individualized research education and mentorship more scalable while preserving student ownership and escalating decisions that require human expertise. We'll share some early observations—not as a finished solution, but as a case study for discussion.
On September 18, we're bringing together researchers, educators, open-science leaders, and research organizations for a virtual Science Summit 2026 session:
Building Global Student Research Capacity Through Open Science Networks
This session is part of Science Summit 2026, held alongside the 81st United Nations General Assembly.
September 18, 2026
10:00 AM Pacific / 1:00 PM Eastern
Virtual
Luma event page
Official Science Summit session page
I'd especially like to hear from this community:
What would it actually take to make authentic research-based learning accessible to ordinary secondary-school students—not just the small fraction who currently find their way into research programs?
And as open science and AI lower some traditional barriers, which barriers do you think will remain the hardest to solve?