Participatory numbers for integrating knowledge and actions in development

This article discusses the opportunities and challenges associated with the use of quantitative participatory methods and participatory numbers for integrating locals’ and outsiders’ knowledge, as well as actions from the bottom-up and top-down, in development. It places emphasis on the contribution of quantitative participatory methods and participatory numbers to foster dialogue between a wide range of stakeholders, for example, local people, NGOs, government agencies and scientists, who usually seldom directly engage with each other. The article draws on case studies that discuss remittances and disasters in Samoa, and disaster risk reduction in the Philippines.     

The Probabilistic Genotyping Software STRmix: Utility and Evidence for its Validity

Forensic DNA interpretation is transitioning from manual interpretation based usually on binary decision‐making toward computer‐based systems that model the probability of the profile given different explanations for it, termed probabilistic genotyping (PG). Decision‐making by laboratories to implement probability‐based interpretation should be based on scientific principles for validity and information that supports its utility, such as criteria to support admissibility. The principles behind STRmix? are outlined in this study and include standard mathematics and modeling of peak heights and variability in those heights. All PG methods generate a likelihood ratio (LR) and require the formulation of propositions. Principles underpinning formulations of propositions include the identification of reasonably assumed contributors. Substantial data have been produced that support precision, error rate, and reliability of PG, and in particular, STRmix?. A current issue is access to the code and quality processes used while coding. There are substantial data that describe the performance, strengths, and limitations of STRmix?, one of the available PG software.     

Did Post-Floyd et al. Reforms Reduce Racial Disparities in NYPD Stop,Question, and Frisk Practices? An Exploratory Analysis Using External and Internal Benchmarks

Various methodological approaches to constructing external and internal benchmarks have been applied to estimate racial bias in police stop, question, and frisk (SQF) patterns. We apply an external benchmark of the race of the residential population and an internal benchmark of similarly-situated stops to estimate if racial disparities in New York City SQF data were impacted by the Floyd, et al. v. City of New York court settlement. We find that after the settlement, the racial composition of census tracts were no longer significant predictors of the stop rate after controlling for reported crime, socioeconomic factors, and police precincts. We further find that differences in SQF outcomes and hit rates between Blacks and Hispanics and similarly-situated others diminished substantially after the settlement. These findings suggest that court reforms may be an effective method for reducing racial disparities in SQF patterns.