University Partners

Bring research, learning, and practice closer together.

We welcome conversations with universities and academic departments about practical learning, research exchange, and programs that connect students with data and AI.

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01

A shared question is a useful starting point

A collaboration can begin with a lecturer’s research question, a student community’s learning needs, or a department exploring practical applications. We would first work together to understand the academic context, intended participants, and what a useful contribution would look like.

02

Possible ways to collaborate

Depending on the institution’s priorities, a proposal could include guest sessions, project-based workshops, mentoring, research discussions, or a jointly scoped student activity. These are potential collaboration formats; the scope, supervision, and resources would be agreed for each program.

03

Design the experience around participants

Define prerequisites, accessibility needs, learning goals, the format, and the responsibilities of both teams. For projects involving research or student work, agree on data access, attribution, publication, intellectual property, and any necessary institutional review before work begins.

04

Start with a short academic brief

Share your institution and department, the intended audience, proposed topic, preferred dates, format, and a contact person. If you already have a program concept, include the learning or research outcome you want to pursue. We can then discuss fit and a realistic next step.

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