Cost-Effective Data Systems for Rural Idaho Policing
GrantID: 73691
Grant Funding Amount Low: $10,000
Deadline: Ongoing
Grant Amount High: $100,000
Summary
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Grant Overview
Idaho's rural policing data systems exhibit persistent gaps that prevent causal analysis of resource allocation effects on response times in small communities. The state's 44 counties include vast areas where sheriff offices operate with fewer than ten full-time officers, limiting systematic recording of incident-level variables. Tenure-track assistant professors must propose projects that link existing state incident reports to outcome measures on crime reduction through improved dispatch protocols.
Cost constraints arise from limited state budgets for information technology upgrades outside the Idaho State Police central repository. Workforce composition in northern and eastern counties relies heavily on part-time deputies who lack standardized training in data entry for analytic purposes. Proposals require documentation of partnerships with county governments that control local records rather than centralized state sources.
Applicants qualify by holding appointments at Idaho public universities and securing commitments from at least three rural agencies to provide de-identified call logs and staffing rosters. Review criteria emphasize feasibility of difference-in-differences designs that exploit staggered adoption of new data platforms across counties. Budgets must cover secure data transfer infrastructure given variable broadband coverage in agricultural regions.
Target outcomes center on isolating the effect of data-driven patrol assignments on clearance rates for property and violent incidents in low-density areas. Idaho's sparse population and reliance on agriculture and timber industries produce distinct seasonal crime patterns that differ from neighboring states. Faculty must detail how they will obtain pre-intervention baselines from paper-based logs still used in many departments.
Implementation involves merging state Uniform Crime Reporting extracts with local computer-aided dispatch records to estimate treatment effects of analytic tools. Assistant professors document plans for training county staff on consistent variable coding to support longitudinal causal estimates. Applications that omit verification of agency capacity to maintain data systems after initial implementation receive lower scores.
Unlike Utah applications, Idaho requires explicit accounting for multi-county jurisdictions where single analysts serve several departments. Successful proposals include sensitivity analyses for missing data arising from officer turnover and demonstrate that estimated effects remain stable when restricted to counties with stable staffing.
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