MI Implementation in Juvenile Justice: A Case Report

Motivational interviewing (MI) is a communication style focused on enhancing clients’ own motivation towards change. In the justice system MI has evidence to support that it enhances communication and change behaviors in youth. As most MI training is designed for healthcare settings training and implementation of MI must be adapted to fit the juvenile justice model. This includes both rehabilitation and restorative justice. Here we describe the details that allowed one county small county in Pennsylvania to roll out MI training and initial skills review in less than 6 months. The case reviews the details of planning, trainings, and timing of activities. We then discuss what elements of those details fit into a greater implementation plan that may be applied elsewhere. Four key elements were instrumental to implementation: 1) appreciation of JPO time constraints, 2) cost containment 3) using blending to enhance JPO flexibility with MI use, and 4) policies that normalize use of MI. This outline may assist other courts in their own implementation efforts.     

Evolving Dynamics of Societal Security and the Potential for Conflict in Eastern Ukraine

Abstract

In this essay we argue that changes in political structures in post-Soviet Ukraine have affected the potential for conflict during transition. Relying on organisational theory to determine the potential for conflict in Ukraine, we argue that this potential is structurally determined by the changing character of societal relations within and beyond Ukraine. The potential for conflict was always present in post-Soviet Ukraine, but this essay examines the facts of when, how and why conflict happened, and how it was related to weak state institutions, centre–periphery relations and an unsettled relationship with Russia. Relying on our analytical framework, we conclude that the conditions for further conflict greatly outweigh the conditions for peace.     

Principal–Agent Dynamics and Electoral Manipulation: Local Risks,Patronage and Tactical Variation in Russian Elections, 2003–2012

Abstract

Why are some elections manipulated more severely than others, and why do the techniques used to manipulate them vary over time and space? This article addresses these related questions by showing that patronage resources—not incumbent popularity—make manipulation appealing to frontline agents, while local political conditions can make manipulation personally risky for them. Agents can mitigate these risks by adopting more dispersed forms of manipulation like vote-buying, rather than more centralised falsification. These hypotheses are tested using forensic analysis of electoral data from more than 90,000 precincts per election across Russia’s 83 regions, from 2003 to 2012.     

Discrimination and ethnic conflict: a dyadic analysis of politically-excluded groups in sub-Saharan Africa

ABSTRACT

The literature on political exclusion and conflict tends to treat grievance-based mechanisms with broad-brush strokes and does not differentiate between types of political exclusion. This study disaggregates politically-excluded groups into two subgroups: groups that experience political discrimination from the state, and groups without political power that are not explicitly discriminated against. We posit that discriminated groups are more likely to experience grievances and therefore are more prone to conflict than excluded groups that are not actively discriminated against. We further posit that the effect of discrimination on conflict is moderated by interactions with economic inequalities and the share of elites. Using dyadic data for 155 ethnic groups in 28 Sub-Saharan African countries, we find that among politically-excluded groups it is indeed discriminated groups that are responsible for most of the association between political exclusion and conflict. Groups that face active, intentional, and targeted discrimination by the state are significantly more likely to be involved in conflict than excluded groups who do not face this explicit form of discrimination. Additionally, we find that discriminated groups who also experience economic inequalities are less likely to engage in conflict, whilst an increased presence of elites within discriminated groups can precipitate the chances of conflict.     

Empirical Evaluation of the Reliability of Photogrammetry Software in the Recovery of Three-Dimensional Footwear Impressions

This paper examines the reliability of Structure from Motion (SfM) photogrammetry as a tool in the capture of forensic footwear marks. This is applicable to photogrammetry freeware DigTrace but is equally relevant to other SfM solutions. SfM simply requires a digital camera, a scale bar, and a selection of oblique photographs of the trace in question taken at the scene. The output is a digital three-dimensional point cloud of the surface and any plastic trace thereon. The first section of this paper examines the reliability of photogrammetry to capture the same data when repeatedly used on one impression, while the second part assesses the impact of varying cameras. Using cloud to cloud comparisons that measure the distance between two-point clouds, we assess the variability between models. The results highlight how little variability is evident and therefore speak to the accuracy and consistency of such techniques in the capture of three-dimensional traces. Using this method, 3D footwear impressions can, in many substrates, be collected with a repeatability of 97% with any variation between models less than ~0.5 mm.     

The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration

ABSTRACT

As government and public administration lag behind the rapid development of AI in their efforts to provide adequate governance, they need respective concepts to keep pace with this dynamic progress. The literature provides few answers to the question of how government and public administration should respond to the great challenges associated with AI and use regulation to prevent harm. This study analyzes AI challenges and former AI regulation approaches. Based on this analysis and regulation theory, an integrated AI governance framework is developed that compiles key aspects of AI governance and provides a guide for the regulatory process of AI and its application. The article concludes with theoretical implications and recommendations for public officers.     

Applying Stone in a Western Landscape: Ranchers,Conservationists, and Causal Stories in the “American Serengeti”

As the emergence of nongovernmental conservation efforts generates conflict among various stakeholders, the causal story that each party articulates regarding conservation and the causes of land degradation reflects their unique interests. This study uses existing literature to evaluate causal stories surrounding a contemporary conservation effort: Montana's American Prairie Reserve. Through qualitative review of web‐based documents and newspaper articles, it generates a preliminary account of key stakeholders' causal stories. The case study suggests that parties who might be disadvantaged by ascribing responsibility for environmental harms in an adversarial fashion may instead elect to articulate causal stories that are more neutral than existing approaches might forecast. The study concludes by suggesting that further development of causal story literature may enable it to better address contemporary conservation efforts.