Opportunity Information: Apply for BJS 2017 12800
The FY 2017 NCS-X NIBRS Estimation Project is a Bureau of Justice Statistics (BJS) funding opportunity under the U.S. Department of Justice aimed at strengthening the nation s ability to produce reliable national crime statistics using incident-based data. It sits within the broader National Crime Statistics Exchange (NCS-X) Initiative, which is designed to increase the number of law enforcement agencies reporting to the FBI s National Incident-Based Reporting System (NIBRS). A central piece of NCS-X is transitioning a carefully selected sample of 400 law enforcement agencies nationwide, including all of the largest agencies, so that NIBRS can support national-level measurement rather than only local or partial reporting.
The core problem this opportunity addresses is that while NIBRS offers far more detail than summary-based crime reporting, it also introduces technical and statistical challenges when you try to generate nationally representative estimates. NIBRS data can have missing or inconsistent elements, agencies adopt the system at different times and with varying data quality, and the data structure is complex (incidents, offenses, victims, offenders, property, and arrests linked together). Because BJS and the FBI are expected to publish dependable national statistics, they need methods that can routinely assess data quality, fill in missing information in defensible ways, and weight the participating agencies so the results accurately reflect the nation as a whole.
The main goal of the project is to build an automated data assessment and processing system that BJS and the FBI can use on an ongoing basis. The deliverables are intended to be practical and repeatable: detailed documentation plus a set of well-documented software programs that can ingest NIBRS data, evaluate it, process it, and generate an analytic database suitable for the full range of analyses required for each agency s dissemination plans by the end of the project period. In other words, the project is not just research for research s sake; it is meant to produce an operational production pipeline that federal analysts can run routinely to create national estimates from NIBRS.
Applicants are expected to carry out work across nine major task areas. First, they must review and assess the NCS-X sampling plan, because the validity of national estimates depends on how the participating agencies represent the broader universe of U.S. law enforcement agencies. Second, they must identify the critical NIBRS data elements needed to support the FBI and BJS publication and reporting needs, clarifying exactly which fields drive the required outputs. Third, they must review and combine relevant data files, reflecting the reality that NIBRS is built from multiple related segments that must be assembled correctly for analysis.
The middle of the project focuses heavily on statistical correction and database creation. Fourth, applicants must develop item-level imputation methods for the critical data elements, meaning methods to fill in missing values at the level of individual variables in a way that is statistically sound and appropriate for NIBRS structure. Fifth, they must apply and test those imputation methods to produce an imputed NIBRS database, including evaluation to ensure the methods perform well and do not introduce unacceptable bias. Sixth, they must develop a unit weighting system capable of producing statistically sound national estimates of reported crime and arrest, accounting for the sampling design and differential participation. Seventh, they then apply those weights to create an imputed and weighted NIBRS database, effectively producing the main analytic file from which national estimates will be drawn.
The final tasks emphasize uncertainty estimation and production of publishable outputs. Eighth, applicants must develop and implement a process for generating standard errors for the national estimates derived from the imputed and weighted database, since federal statistics require measures of precision and the complex design (imputation plus weighting) complicates variance estimation. Ninth, they must analyze the resulting database or databases to produce a set of tables showing the national estimates requested by the FBI and BJS, demonstrating that the pipeline can generate the real-world outputs the agencies intend to disseminate.
Administratively, this opportunity is a discretionary award using a cooperative agreement mechanism, under the Information and Statistics funding activity category, with CFDA number 16.734. The funding opportunity number is BJS 2017 12800. BJS expected to make one award, with an award ceiling of 2,000,000. The opportunity was posted July 27, 2017, with an original closing date of August 25, 2017. Eligibility is listed as Others with additional eligibility details referenced in the full announcement, signaling that the competition likely targeted organizations capable of sophisticated statistical methodology, software development, and large-scale federal data processing support.
Overall, the grant centers on turning NIBRS from an expanded reporting system into a dependable national statistical engine. The project is about building the methods and the machinery to assess NIBRS data quality, address missingness through imputation, correct for representativeness through weighting, quantify uncertainty through standard errors, and then produce standardized national tables that meet FBI and BJS dissemination needs, all in a way that can be repeated routinely after the project ends.Apply for BJS 2017 12800
- The Department of Justice, Bureau of Justice Statistics in the information and statistics sector is offering a public funding opportunity titled "FY 2017 NCS-X NIBRS Estimation Project" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 16.734.
- This funding opportunity was created on Jul 27, 2017.
- Applicants must submit their applications by Aug 25, 2017. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $2,000,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- Eligible applicants include: Others (see text field entitled Additional Information on Eligibility for clarification).
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