Experimentation at the interface of science and policy: a multi-case analysis of how policy experiments influence political decision-makers

For decades now, scholars have grappled with questions about how knowledge producers can enhance the influence of their knowledge on users and improve policy making. However, little attention has been paid to how policy experiments, a flexible and ex ante method of policy appraisal, obtain influence over political decision-making. To address this gap, an exploratory framework has been developed that facilitates systematic analysis of multiple experiments, allowing hypotheses to be tested regarding how an experiment’s institutional design can influence the views of political decision-makers. Cash’s categories of effectiveness are used to describe an experiment’s conceptual influence; being how credible, salient, and legitimate decision-makers perceive an experiment to be. The hypotheses are tested using 14 experiment cases found relevant to climate adaptation in the Netherlands, with complete survey responses from over 70 respondents. The results show that although, in general, the experiments had medium to high influence on decision-makers, institutional design does have a noticeable impact. Organisers should make choices carefully when designing an experiment, particularly in order to maintain relevance during an experiment’s implementation and to build community acceptance. Suggestions for future research include a comparison of experiment effects with the effects of non-experimental forms of appraisal, such as piloting or ex ante impact assessment.     

Use of the World Wide Web in the 1996 US election

The role of the World Wide Web in the 1996 US election was analyzed from three perspectives: receiver, source, and effects. A test Web site was set up to provide political information, and the pattern of use indicates that users seemed more interested in seeking news than in deciding how to vote. An analysis of campaign characteristics and subsequent votes indicates that the higher the office being sought, the more likely a campaign is to have a supporting Web site, and that having a Web site was also associated, for one reason or another, with a statistically significant number of additional votes on the average.     

A Longitudinal Exploration of the Effect of Official Processing and Sanctioning on the Academic and Criminal Careers of College Students

This study examines the effect of official processing and sanctioning on the academic and criminal careers of a sample of college students from a large university in a southeastern college town. Using a series of OLS and logistic regression models, the results indicated that offense frequency and severity are risk factors for dropping out/or being dismissed from college, whereas membership in a sorority or fraternity is a protective factor. Additional analyses demonstrated that the severity of punishment as well as the type of punishment (e.g., judicial affairs punishment, criminal justice system punishment) also had a significant effect on future offending. Study limitations and policy implications are also discussed.     

Reducing Homelessness or Re‐ordering the Deckchairs?

The Homelessness Reduction Act 2017 has come into force trumpeting nothing less than the need for a ‘culture change’ among local housing authorities implementing it. Although it aims to reduce homelessness, it is more likely to hide long‐term systemic issues in the housing system. It is argued that the 2017 Act's significant alterations are likely to result in a re‐ordering of the deckchairs on the Titanic of housing policy. Following a biography and critique of the homelessness legislation as being out of time and place, as well as a discussion of the 2017 Act itself, three central points are made: the 2017 Act has ushered in a form of neo‐liberal government of the homeless; the understanding of the household seeking assistance has fundamentally altered, from passive applicant to active citizen; the private rented market provides the sole mechanism for performing the duties but remains problematic.     

Merging content analysis and the policy sciences: A system to discern policy-specific trends from news media reports

In this article we set out to bridge a surprising methodological gap between two time-honored research traditions – news media content analysis and the policy sciences analytic framework. Lasswell, a recognized pioneer of both the method and the framework, discussed the mutual benefits of each decades ago. But few researchers, if any, have formally linked the two. To that end, in this article we (1) make the case for using news media content analysis to inform research studies using the policy sciences analytic framework; (2) introduce an original content analysis categorical system for that purpose; (3) demonstrate that system with a study of 90 national news articles about the stratospheric ozone hole; and (4) compare our system to others used to examine news content. We report that our system, used by human coders, is well geared to describing and mapping trends in the social process surrounding the development of the Montreal Protocol ozone treaty during the intelligence gathering and promotion phases encompassed by our data sample. We argue that other content analysis systems fall short – in structure and purpose – of meeting the promise ours holds to the policy scientist.