Research / 01

Questions before answers.

We study how AI behaves in real settings — where it helps, where it fails, and where careful judgment remains essential.

FIELD NOTE

Good research makes uncertainty visible before it becomes a decision.

Areas of inquiry

Research in context.

Our work starts with the setting, not the technology. Explore the questions shaping each area.

Performance analysis, participation, and the decisions that shape sport.

How AI can support teaching and learning, and how its effects should be assessed.

The reliability, oversight, and limits of AI in health-related settings.

How AI can support agricultural decisions across different production conditions.

What helps people and organizations put AI into sustained use.

The use of AI in financial workflows, with attention to accuracy, accountability, and risk.

Publications

Our first body of public research is taking shape.

Check back for field notes, working papers, and practical guides from the Make4A team.

SOON