Abstract
Scientific research requires a substantial investment of time, effort, and money by researchers and funders. The funding that would be needed for all meritorious proposals far exceeds available resources. Major funding organizations use a multistep process for allocating research dollars that follows and extends beyond scientific peer review with considerations including mission priority, budget, and potential duplication of past or ongoing research activities. At the level of programmatic review, the process tends to be less proscribed than scientific review, but considerations relate to and are akin to basic value-driven economic principles. We propose a framework that encompasses the elements of programmatic review and provide examples of how the economic principles of opportunity costs, diminishing marginal productivity, sunk costs, economic optimization, return on investment, and option value apply to both research planning and funding decisions. Examples use cancer control population science research, as the nature of observational and interventional research involves large population studies (large sample size, recruitment, and often long-duration follow-up costs) which demand a high level of resource utilization; the same principles can be applied throughout medical and population health research. Awareness of the aspects of programmatic review and context to focus discussion regarding funding decisions may help guide research planning, decision-making, and increase transparency of the overall review process.