EPA CIO Carter Farmer: Outcomes Drive Efficiency
What happens when a federal agency stops counting inputs and starts measuring lives improved? That shift is at the core of a quiet transformation at the Environmental Protection Agency, where CIO Carter Farmer is steering attention away from activity tallies and toward outcomes-driven models as the best route to efficiency. Instead of defaulting to budgets spent or systems stood up, Farmer is asking a different question: what measurable changes in environmental and public health indicators result from our technology investments?
A new urgency around efficiency has pushed federal leaders to reconsider what success looks like. The Office of Management and Budget and congressional overseers want clearer evidence that taxpayer dollars produce real savings and measurable benefits. For the EPA — where technology, data and mission delivery intersect — Farmer’s approach aligns IT modernization with concrete environmental goals: lowering pollution exposure in vulnerable communities, speeding permitting while preserving safeguards, and increasing public access to air and water quality data.
Why outcomes-driven models matter for the EPA
Outcomes-driven models create value in three clear ways:
– Operational efficiency: Resources concentrate on activities that demonstrably move environmental indicators, reducing waste and prioritizing technical debt that hinders impact.
– Policy clarity: Shared outcome metrics bridge the gap between technologists and policymakers, aligning IT roadmaps with statutory priorities and constituent needs.
– Public accountability: Publishing measures tied to environmental conditions allows citizens and stakeholders to assess agency performance directly.
For engineers and product teams the shift is liberating. Acceptance criteria become concrete: a dashboard that helps reduce asthma-related ER visits; permit processes that shorten approval times without sacrificing environmental review. Those targets give product teams a north star and let technology leaders defend modernization budgets with evidence — investments that accelerate measurable environmental improvements are easier to justify than vague “platform upgrades.”
But outcomes-based approaches bring trade-offs. Poorly designed metrics can reward short-term wins over durable improvements, encouraging optimization of the metric rather than the system. That classic “measure what matters” risk requires thoughtful metric design, anti-gaming guardrails, and multi-year commitments to avoid perverse incentives.
Maintaining equity is also essential. A single national indicator can obscure regional disparities; successful outcomes-driven models must bake in equity so benefits reach populations disproportionately affected by pollution. Likewise, adversaries exist — from vendors promising quick fixes to threat actors targeting data systems — and an outcomes focus can invite short-term solutions that undermine long-term resilience. Strong governance, secure architectures and rigorous vendor management are therefore indispensable.
Operationalizing outcomes requires new tools and disciplines
Moving from activity counting to outcomes-based performance involves more than rhetoric. It means:
– Defining measurable goals directly tied to public benefits
– Building analytics platforms that connect IT performance to environmental indicators
– Reorganizing procurement and project management to reward results over feature lists
At the EPA, Farmer is pragmatic: pilots and phased adoption accompany required compliance and reporting structures. The CIO’s team leverages environmental monitoring networks, cross-agency data sharing and modern cloud capabilities to produce timely, actionable insights that both improve outcomes and strengthen the case to Congress and the public that technology spending yields measurable returns.
Procurement must evolve with outcomes-driven models
Traditional contracts that pay for deliverables or headcount clash with goals-based funding. The EPA’s CIO and procurement teams are experimenting with performance-based contracts, prizes and other vehicles that tie payment to results. Success in other sectors shows the value of pairing ultimate outcomes with intermediate process indicators — for example, tracking data latency, model accuracy or permit processing time as leading signals that an initiative is likely to move environmental outcomes.
Attribution and evaluation are difficult but necessary
Measuring environmental outcomes involves complex causality. How much did an IT change contribute to better air quality versus regulatory actions, economic shifts, or weather patterns? Credible attribution requires robust evaluation methods — counterfactuals, longitudinal studies and independent audits — and investment in analytic capacity to support defensible claims about impact.
Balancing ambition and rigor
Farmer’s stance is clear: outcomes are not a substitute for compliance; they complement and sharpen mission focus. Used well, outcomes-driven models can accelerate environmental gains, improve operational efficiency and rebuild public trust by showing concrete progress. Used poorly, they can create misaligned incentives, encourage superficial reporting and waste resources.
The EPA’s pilots and policy experiments will determine whether outcomes become a sustained practice or a temporary slogan. The stakes are both technical and ethical. Will agencies measure what matters and do so honestly? Under CIO Carter Farmer, the EPA is betting that centering outcomes — and building the analytic, contractual, and governance scaffolding to support them — will deliver better environmental results and a more efficient government.
Conclusion: outcomes-driven models as a determinant of success
The choice before the federal government is simple in formulation but profound in consequence: reward real-world improvements rather than impressive activity tallies. If implemented with rigor, outcomes-driven models can enable faster environmental improvements, tighter alignment between technology and mission, and stronger public accountability. If implemented carelessly, they risk short-termism and wasted investments. For the EPA, the test will be whether outcomes, not outputs, become the dominant measure of success — and whether that focus leads to sustained efficiency and genuine environmental progress.
