Carter Farmer asked his team a blunt question: how do we measure whether government technology investments actually move the needle on environmental outcomes? The question frames a dilemma familiar across federal agencies in 2025—balancing tight budgets, rising expectations for measurable results, and the practical limits of legacy systems.
Carter Farmer, CIO of the Environmental Protection Agency (EPA), has placed outcomes-driven models at the center of the agency’s efficiency push, arguing that “efficiency” cannot be reduced to cost-cutting or headcount metrics alone. In recent interviews and public remarks summarized by Government Technology Insider, Farmer has emphasized aligning IT strategy with mission outcomes—reducing pollution, protecting public health, and delivering timely data to communities and regulators—to demonstrate impact and justify investment.
Carter Farmer and the shift to outcomes-driven EPA efficiency
Background: Why outcomes, and why now
– Federal fiscal pressure in 2025 has sharpened scrutiny on return on investment (ROI) for agency programs. Congress and watchdogs increasingly ask for demonstrable performance improvements, not just accounting efficiencies.
– The EPA’s mission is inherently outcome-oriented—controlling pollution, ensuring clean air and water, and enforcing environmental laws—yet the connection between IT projects and those public-facing results has historically been indirect and diffuse.
– Carter Farmer has advocated closing that gap by designing IT initiatives that map directly to environmental or public-health indicators, enabling clearer measurement of success.
Current situation: What the EPA is doing
– Priorities include modernizing legacy systems, improving data interoperability, and deploying analytics that translate raw monitoring data into actionable insight for regulators and communities.
– The agency is experimenting with outcomes-based contracting and portfolio management approaches that tie vendor payments or project continuation to achievement of defined milestones or environmental indicators.
– There is also a push to surface impact through better dashboards and performance reporting so both internal leaders and external stakeholders can see where technology investments are driving change.
Why this matters: practical and strategic implications
– For technologists: Outcomes-driven planning reframes requirements gathering. Instead of specifying features, teams must define the environmental or service-level changes a solution should enable, and then instrument systems to measure those changes.
– For policymakers: This approach offers a clearer narrative to justify budgets. When IT dollars can be shown to accelerate remediation, reduce compliance lapses, or speed emergency response, legislative appropriators and oversight bodies have firmer grounds for support.
– For users and communities: Meaningful transparency about outcomes helps build trust—residents want to know whether monitoring and enforcement translate into cleaner air and safer drinking water in their neighborhoods.
– For potential adversaries: Exposing more data and automating processes can improve responsiveness but also increases the attack surface. Outcomes-driven systems must be built with modern security and resilience as core requirements.
Balancing trade-offs: implementation challenges
– Measurement design: Defining metrics that truly reflect mission outcomes is hard. Proxies like system uptime or processing speed are easier to measure but can mislead if they don’t correlate with environmental improvements.
– Data quality and interoperability: Environmental data comes from a patchwork of monitoring networks, states, tribes, and private sources. Standardizing and validating inputs is time-consuming but essential for credible outcomes measurement.
– Contracting and procurement: Moving to contracts that pay for outcomes requires new legal and financial instruments and a tolerance for phased, iterative delivery rather than fixed-scope procurements.
– Organizational change: Outcomes-driven efforts demand cultural shifts—program managers, enforcement attorneys, scientists, and IT staff must collaborate from the outset, with shared accountability for results.
Voices and perspectives
– Agency leadership: CIOs like Farmer see outcomes models as a way to translate technical work into mission impact and to defend budgets in a tight fiscal environment.
– Technologists and program staff: Some welcome the clarity of outcome targets, while others caution that poorly chosen metrics can distort priorities or encourage gaming.
– Oversight bodies and auditors: The Government Accountability Office (GAO) and OMB have long urged better performance measurement; outcomes-driven IT aligns with that direction but raises new verification questions.
– Public stakeholders: Communities disproportionately affected by pollution may welcome clearer evidence that agency investments improve conditions—but they will watch whether reported outcomes match lived experience.
Practical steps the EPA and similar agencies can take
– Start with a small number of high-value outcomes tied to measurable environmental indicators (e.g., reduction in exceedances of air quality standards in targeted areas).
– Invest in data governance to ensure that measurements are trustworthy and comparable across time and jurisdiction.
– Use adaptive contracting and pilot projects to manage risk while scaling successful approaches.
– Build internal incentives and training so staff understand how to design and evaluate outcomes-based initiatives.
– Make security and privacy central—outcomes-driven systems must be resilient against cyber threats and respectful of sensitive data.
Conclusion: measuring what matters
If efficiency in 2025 is to mean more than shaving line items from budgets, it must be judged by whether government action improves people’s lives. Carter Farmer’s emphasis on outcomes-driven models at the EPA reframes efficiency as a tool for accountability and impact rather than austerity. The challenge ahead is not merely technical; it is conceptual and institutional—defining the right measures, building systems that produce trustworthy evidence, and aligning incentives so measured improvements become the metric of success. Will government agencies be able to convert better data into better outcomes—and then convince the public that they have? The answer will shape not only budgets but the public’s trust in government’s capacity to protect health and the environment.
Source: https://governmenttechnologyinsider.com/carter-farmer-cio-of-the-environmental-protection-agency-shares-how-focusing-on-mission-outcomes-drives-efficiency__trashed/
