Current research on data in policy has primarily focused on street-level bureaucrats, neglecting the changes in the work of policy advisors. This research fills this gap by presenting an explorative theoretical understanding of the integration of data, local knowledge and professional expertise in the work of policy advisors. The theoretical perspective we develop builds upon Vickers’s (1995, The Art of Judgment: A Study of Policy Making, Centenary Edition, SAGE) judgments in policymaking. Empirically, we present a case study of a Dutch law enforcement network for preventing and reducing organized crime. Based on interviews, observations, and documents collected in a 13-month ethnographic fieldwork period, we study how policy advisors within this network make their judgments. In contrast with the idea of data as a rationalizing force, our study reveals that how data sources are selected and analyzed for judgments is very much shaped by the existing local and expert knowledge of policy advisors. The weight given to data is highly situational: we found that policy advisors welcome data in scoping the policy issue, but for judgments more closely connected to actual policy interventions, data are given limited value.
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Objective This scoping review aims to identify complex health interventions (CHI’s) to prevent early childhood caries (ECC), explore the level of complexity of the identified CHI’s, and explore the details of their development, evaluation, and implementation. Introduction Many interventions to prevent ECC have multiple interacting components and can be seen as CHI’s. Recent reviews on these interventions have found inconclusive effects, which may be due to differences in the development, evaluation, and implementation of CHI’s. Inclusion criteria This scoping review will consider clinical trials reporting CHI’s to prevent ECC that starts during pregnancy or in the first year of life. Studies in the English language will be included regardless of the country of origin, sociocultural setting, or context. Methods This review will follow the Joanna Briggs Institute methodology for scoping reviews. An initial search of PubMed identified keywords and Medical Subject Headings terms. A second search of PubMed, Embase, Clarivate Analytics/Web of Science Core Collection, ClinicalTrials.gov, and the Wiley/Cochrane Library will follow. Two independent reviewers will perform title and abstract screening, retrieve and review full-text studies, and extract data. The reference lists of all included sources will be screened for additional CHI’s or relevant publications about a specific CHI. Data charting will be utilised based on study characteristics and intervention complexity. A 39-item instrument will be used to explore the details in the description of the CHI’s development, evaluation, and implementation. The results will be presented in tables, visual outputs, and a narrative summary in response to the review questions. Discussion The proposed review will generate evidence which may provide a direction for the future design of studies on CHI’s to prevent ECC and more complete information for those who want to adopt successful interventions to prevent ECC.
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Background: Advanced statistical modeling techniques may help predict health outcomes. However, it is not the case that these modeling techniques always outperform traditional techniques such as regression techniques. In this study, external validation was carried out for five modeling strategies for the prediction of the disability of community-dwelling older people in the Netherlands. Methods: We analyzed data from five studies consisting of community-dwelling older people in the Netherlands. For the prediction of the total disability score as measured with the Groningen Activity Restriction Scale (GARS), we used fourteen predictors as measured with the Tilburg Frailty Indicator (TFI). Both the TFI and the GARS are self-report questionnaires. For the modeling, five statistical modeling techniques were evaluated: general linear model (GLM), support vector machine (SVM), neural net (NN), recursive partitioning (RP), and random forest (RF). Each model was developed on one of the five data sets and then applied to each of the four remaining data sets. We assessed the performance of the models with calibration characteristics, the correlation coefficient, and the root of the mean squared error. Results: The models GLM, SVM, RP, and RF showed satisfactory performance characteristics when validated on the validation data sets. All models showed poor performance characteristics for the deviating data set both for development and validation due to the deviating baseline characteristics compared to those of the other data sets. Conclusion: The performance of four models (GLM, SVM, RP, RF) on the development data sets was satisfactory. This was also the case for the validation data sets, except when these models were developed on the deviating data set. The NN models showed a much worse performance on the validation data sets than on the development data sets.
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From June 28 to July 7 the National Arts Festival took place in Grahamstown, South Africa. For the 20th time Cue, a daily print newspaper about the Festival, was produced by Rhodes University journalism students. It was the first time that the newspaper was printed in full color. Cue is at the core of journalistic production during the Festival. But nowadays, what is a newspaper without pictures or without an online edition? Cue Pix, run by the photo department at the School of Journalism and Media Studies in the AMM (African Media Matrix) provides the pictures. Cue Online is run by the NML (New Media Lab) in the same building and is mostly shoveling print content online. Cue Radio and Cue TV take care of the audio and video, and broadcast during the Festival. Up to 2000 copies of Cue newspaper were printed daily with the number of sold copies around 1600. The newspaper was sold in the Grahamstown streets for 3 Rand. The number of pages of Cue ranges from 16 to 20, including advertisements. Cue is produced by students and lecturers of the School of Journalism and consists of about 50 student-reporters, 10 sub-editors, and 2 editors (who are generally University staff). The productions layout is taken care of by a group of design students. Twenty students from the photo department take care of the pictures and rework them with Adobes Photoshop. Cue TV and Cue Radio (with a total of about 10 students) brought their reporting skills to the Festival as well. Reporting about the Festival by Cue is a major happening that has been growing over the years. From print to TV, to radio and online. This is fantastic, but also reflects equal problems in the media industry: each media platform runs their own show. Print, TV, radio and photography: they all have their own targets, content production, and some coordination. In order to take full advantage of the different possibilities of all the media platforms, convergence is the keyword.
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Municipalities increasingly seek to include citizens in decision-making processes regarding local issues, such as urban planning. This paper presents a case study on using Virtual Reality (VR) in a process of civic participation in the redesign of a public park. The municipality included citizens in intensive co-design activities to create three designs for the park and engaged the neighbourhood community in co-decision, in the form of a ballot. Through the civic participatory process, we studied the effectiveness of using VR technology to engage the community in participating in the co-decision process. The three designs were presented using highly realistic 360˚ visualisations and the effects on engagement were compared between various devices: VR headsets, smartphones, tablets, and computers. Viewing the designs in 2D paper plans was also included in the comparison. The study included over 1300 respondents that participated in the ballot. A statistical analysis of the collected data shows that participants viewing the 360˚ rendered images with VR technology expressed a significantly higher engagement in the co-decision process than those using their computer at home or viewing 2D paper plans. The paper describes the complete participatory design process and the impact of the e-governance used on the target group as well as on the actors organizing the e-governance process. We discuss how the use of new technology and active presence of a voting-support team inspired citizens to participate in the co-creation process and how the investment in this procedure helped the local authorities to generate support for the plans and strengthen its relationship with the community. The use of realistic visualisations that can be easily assessed by citizens through user-friendly technology, enabled a large and diverse audience to participate. This resulted in greater visibility of municipal efforts to enhance the living environment of citizens and is therefore an important step in increased civic engagement in municipal policy-making and implementation.
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Objectives: Aiming to reduce distributed denial-of-service (DDoS) attacks by alerting the consciences of Internet users, this paper evaluates the effectiveness of four warning banners displayed as online ads (deterrent—control, social, informative, and reorienting) and the contents of their two linked landing pages. Methods: We implement a 4 x 2 quasi-experimental design on a self-selected sample of Internet users to measure the engagement generated by the ads and the pages. Engagement is measured on the ads as the ratio of clicks to impressions, and on the pages as percentage of page scrolled, average session duration, video interaction rate, and URLs click rate. Results: Social ads generate significantly more engagement than the rest with low to medium effect sizes. Data reveal no differences in engagement between both landing page designs. Conclusions: Social messages may be a better alternative for engaging with potential cyber offenders than the traditional deterrent messages. Correspondence: Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), De Boelelaan 1077, 1081 HV, Amsterdam, The Netherlands. Email: AMoneva@nscr.n This is a post-peer-review, pre-copyedit version of an article published in Journal of Experimental Criminology. The final authenticated version is available online at: https://link.springer.com/article/10.1007/s11292-022-09504-2
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The current standard in accounting practice is the double-entry approach. Basis of the double-entry approach is that every financial event brings two equal and offsetting entries. Since these financial events are not automatically confirmed by both parties, the accounting quality can be improved. The blockchain mechanism possibly offers a different take on accounting. Based on an experimentation approach, data was collected to compare the double-entry method with the blockchain-based triple-entry method. The results show that the main difference concerns determining the completeness of the financial statement items. In the situation of double-entry accounting, segregation of duties is applied to do so. In the blockchain situation, the underlying mechanism of the blockchain already ensures this.
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Conducting large calculations manually with pen and paper following prescribed procedures or algorithms has been diminishing in significance for some time. In most cultures, and for many years already, individuals employ digital instruments for such computational tasks, when confronted with them in daily life. Yet, a closer examination of prevalent practices in the teaching of basic numeracy skills in adult education reveals a persistent emphasis on mastering standardized manual calculation techniques, especially with abstract and decontextualized numbers. This emphasis predominantly stems from the belief that mastering these manual procedures forms the cornerstone of all numeracy abilities. Contrastingly, our research indicates that the numeracy skills most frequently utilized and required in contemporary professions and daily activities encompass higher-order capabilities (Hoogland and Stoker, 2021; Boels et al., 2022; Hoogland and Díez-Palomar, 2022). These include interpretation, reasoning, mathematizing, estimation, critical reflection on quantitative data, and the application of digital instruments for computation. It is imperative, therefore, that numeracy education for adults prioritizes these competencies to achieve efficacy.
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Digital surveillance technologies using artificial intelligence (AI) tools such as computer vision and facial recognition are becoming cheaper and easier to integrate into governance practices worldwide. Morocco serves as an example of how such technologies are becoming key tools of governance in authoritarian contexts. Based on qualitative fieldwork including semi-structured interviews, observation, and extensive desk reviews, this chapter focusses on the role played by AI-enhanced technology in urban surveillance and the control of migration between the Moroccan–Spanish borders. Two cross-cutting issues emerge: first, while international donors provide funding for urban and border surveillance projects, their role in enforcing transparency mechanisms in their implementation remains limited; second, Morocco’s existing legal framework hinders any kind of public oversight. Video surveillance is treated as the sole prerogative of the security apparatus, and so far public actors have avoided to engage directly with the topic. The lack of institutional oversight and public debate on the matter raise serious concerns on the extent to which the deployment of such technologies affects citizens’ rights. AI-enhanced surveillance is thus an intrinsically transnational challenge in which private interests of economic gain and public interests of national security collide with citizens’ human rights across the Global North/Global South divide.
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