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For policy makers
Versioned numbers. Plain explanations. Population-anchored framing for procurement, taxation, labelling, and food-environment surveillance, with a monetised social-cost overlay where the evidence supports it.
Policy framing is shipped on the existing scoring surfaces via the audience toggle. The scenario simulator and the social-cost overlay are in flight; see the roadmap below.
EAT-Lancet 2.0 Table 2 food-system share against planetary boundaries. Frame a national or regional diet against the share the food system is allowed to consume.
Every published lens on one screen. Switch to the Policy audience toggle for population-anchored explanations and the monetised social-cost framing where evidence supports it.
Flip the audience toggle to Policy after loading a food list.
What is in flight for the policy surface.
Today the policy surface is positioning plus the audience toggle on the existing scorers. The machinery for scenario simulation and social-cost overlay exists in the substitution engine (SUBST-1) and the LCA factor packs; what is missing is the policy-shaped frontend.
Take a representative day or a national-survey medoid, apply N substitutions (replace 30% of red meat with legumes, for example), compute the multi-lens delta, surface the Pareto frontier.
One-page snapshots of a country or region against every published lens, sourced from national surveys and the multi-database catalogue.
Apply a procurement rule (school meals, hospital catering) and see the population-level change across every lens, with uncertainty bands.
Also see: Researchers · Individuals · Methods & data
Social-cost overlay
SoonMonetised health-cost and environmental-cost framing for the population, anchored to the lenses where the evidence supports a money figure.