Impact & Implications (agsy-impact-and-implications)
AgSy publishes systems analysis that informs a decision — how to design or manage a farm, what trade-off a policy faces, where to intervene in a food system. A technically sound model with no decision relevance reads as a methods demo. This skill turns systems results into honest, scoped implications without over-claiming.
When to trigger
- Writing the discussion, implications, or conclusion section
- The model and evaluation are sound but the "so what for decisions" is thin
- A reviewer said the paper is "academic," "no clear application," or "over-claims its policy reach"
- Framing recommendations for farmers, advisers, or policymakers
How to frame implications
- Name the decision. Who decides what differently because of this result — a farmer choosing a rotation, an adviser targeting an intervention, a policymaker weighing an instrument?
- State the trade-off, not a single "best." Systems results are about trade-offs and synergies; an honest implication says "option A gains X but costs Y," and for whom.
- Scope it to the system and the evidence. Implications hold within the system boundary, scales, and conditions you modelled and evaluated. Say where they likely do not transfer.
- Be honest about uncertainty. Tie the strength of the recommendation to the uncertainty from
agsy-data-and-model-evaluation. Do not let a wide ensemble become a confident policy claim. - Connect to the bigger system. Where relevant, link the farm/landscape result to food security, environment, climate, or livelihoods — the interactions AgSy cares about.
The decision-relevance test (AgSy-specific)
Write one sentence: "Because of this analysis, [actor] should weigh [option] differently because the system trades off ___ against ___, under conditions ___." If you cannot, the paper has results but no implications — strengthen the framing or the scenario design.
Anti-patterns
- A discussion that only restates results with no decision relevance
- Recommending a single "optimal" option while hiding the trade-off
- Generalizing beyond the modelled system, scales, or conditions
- A confident policy claim resting on high-uncertainty output
- Implications that ignore the social/economic side of the system
Output format
【Decision】who acts differently and how 【Trade-off】what is gained vs. given up, for whom 【Scope】system boundary / scales / conditions where it holds (and not) 【Uncertainty-matched】recommendation strength tied to uncertainty? [Y/N] 【Wider link】food security / environment / climate / livelihoods 【Next】agsy-reproducibility-and-data-policy
Supplementary resources
../../resources/external_tools.md— food-system data and trade-off/decision tooling../../resources/official-source-map.md— AgSy scope: decision and policy relevance of systems analysis
