Insights
Practical writing on measuring what programs, policies, investments and AI tools actually change.
Agentic AI for research and reporting: where it helps, and where it quietly fails
AI agents can now search, read, calculate and draft. The risk is not obvious nonsense; it is a polished report that leaves out the one comparison that mattered.
What is an estimand, and why does your program evaluation need one?
Most disappointing evaluations fail before any data is analysed, because nobody wrote down exactly what was being measured. The estimand fixes that.
How should a producer organization judge the return on its research?
Commodity commissions invest levy money in research whose payoff can take a decade or more to arrive. That long horizon shapes how research should be chosen, evaluated and governed.
Testing a policy before it exists: what agent-based models add
When a policy is still a proposal, there is nothing to evaluate. Agent-based simulation lets decision-makers see how individual choices and market prices might respond first.