Digital dilemmas: the unintended consequences of election technology

Digital technologies are increasingly used in elections around the world. Where the resources and capacity of the state are limited, some have argued that such technologies make it possible to rapidly “leapfrog” to cleaner and more credible elections. This article argues that the growing use of these technologies has been driven by the fetishization of technology rather than by rigorous assessment of their effectiveness; that they may create significant opportunities for corruption that (among other things) vitiate their potential impact; and that they carry significant opportunity costs. Indeed, precisely because new technology tends to deflect attention away from more “traditional” strategies, the failure of digital checks and balances often renders an electoral process even more vulnerable to rigging than it was before. These observations are not intended as a manifesto against the digitization of elections; apart from anything else, we argue that the drivers of the adoption of these new methods are too powerful to resist. But the analysis draws attention to the importance of more careful assessments of the problems, as well as the benefits, of such technologies – and to the need for more careful planning in their deployment.     

MDS use with crime scene data replicates poorly: response to Goodwill,Alison, and Humann (this issue) and Davis (this issue)

Abstract

Examinations of treatment attrition form an important – although sometimes neglected – component of evaluating a correctional programme's effectiveness in reducing recidivism. Previous research has identified offender characteristics that predict non-completion. This study investigated non-completion in 138 high-risk, violent male prisoners attending an intensive cognitive–behavioural programme. Almost one-third of men who commenced it did not complete the 7-month programme. Most asked to leave of their own accord, or were removed for ongoing offending. In contrast to previous research, no support was found for the hypothesis that those who terminated treatment prematurely were more in need of intervention than those who completed the programme; non-completers did not differ from completers on static estimates of criminal risk, PCL-R scores, demographic variables or self-report scales measuring dynamic risk factors. It was concluded that successful prediction using variables related to criminal risk and criminogenic need depends both on the characteristics of programme participants, and on contextual factors such as programme policies: when high-risk high needs offenders are a programme's target clientele, variables related to risk and need will have limited predictive utility. From a practice perspective, the programme was successful in retaining through to completion a relatively untreatable group: high-risk offenders with moderate to high PCL-R scores.     

Public administration implications of the north american free trade agreement

The emerging North American trade bloc presents both challenges and opportunities for Mexico, Canada, and the United States. Free trade among disparate partners is a complex undertaking. The North American Free Trade Agreement (NAFTA) will bring important benefits to all three countries, but it will also raise many important issues. The sharp differences in wage rates, worker productivity, and education levels among the partners has fueled fears of job losses on both sides of the border. Disparity among NAFTA nations on labor practices, health and occupational safety laws and regulations are also sources of conflict. Effective dispute resolution mechanisms must exist for both the trade and non-trade issues. Practical guidance, in this regard, can come from the experience of the Canadian Free Trade Agreement (CFTA) and the European Economic Community (EEC; European Union since 1993). New political and administration mechanisms will be required to deal with each of these challenging issues.