Providing Public Servants What They Need: Revealing the “Unseen” through Data Visualization

Isett, Kimberley R.; Hicks, Diana

doi:10.1111/puar.12904

Cited by 17 publications

(18 citation statements)

References 35 publications

(62 reference statements)

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“…Indeed, one study by the United States Department of Education found roughly half of the United States population in 2002 had a difficult time in understanding even basic numerical information (Kirsch et al 2002). Similar findings are also present in recent public management research that assesses how different methods of presentation shape comprehension of government information (Alon-Barkat 2019; Isett and Hicks 2018; Olsen 2017). In general, this nascent line of work reveals that statistical information tends to be more difficult for individuals to recall and ultimately comprehend (Olsen 2017; Porumbescu et al 2017).…”

Section: Hypotheses: Shaping Compliance Intentions Through Comprehensionsupporting

confidence: 80%

Building comprehension to enhance vaccination intentions: Evidence from the United States and Italy

Porumbescu¹,

Cucciniello

et al. 2020

Preprint

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Building on Cognitive Load Theory and the Elaboration Likelihood Model of Persuasion this study attempts to deepen our understanding of how health information campaigns related to vaccination work. We predict that including statistical information in health information campaigns will serve as a distraction that suppresses comprehension that renders the campaign less effective at persuading the public to vaccinate. Results from a survey experiment conducted on samples of US (n = 605) and Italian parents (n = 505) show support for the hypothesized relationship depends upon the form of comprehension (comprehension of how vaccines work versus comprehension of potential adverse effects of vaccinating). Specifically, both US and Italian parents show including statistical information reduces comprehension of how vaccines work, in turn reducing parents' intentions to vaccinate themselves and their children. We find no support for the hypothesized mechanism when comprehension of potential adverse effects of vaccinating acts as the process variable.

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Section: Hypotheses: Shaping Compliance Intentions Through Comprehensionsupporting

confidence: 80%

Building comprehension to enhance vaccination intentions: Evidence from the United States and Italy

Porumbescu¹,

Cucciniello

et al. 2020

Preprint

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“…The core graph with the number of contaminations in relation to the number of hospital admissions, and specifically the number of intensive care patients, was and is widely used to check whether hospital systems can cope with the rising number of COVID‐19 patients. This communication fuels the visualization and more specifically the “ graphication ” of politics and policy making (see Isett and Hicks on the impacts of data visualization). The Dutch and Belgian health research agencies announce daily facts and figures on these key parameters.…”

Section: The Staging Of Sciencementioning

confidence: 99%

Staging Science: Authoritativeness and Fragility of Models and Measurement in the COVID‐19 Crisis

Dooren

Noordegraaf

2020

Public Administration Review

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In the COVID‐19 crisis, society pins its hopes on science to play an authoritative role in reducing uncertainty and ambiguity. But is science up to the task? This is far from self‐evident. The demands on science in times of crisis run counter to the values of good, normal science. Crisis science needs to be fast, univocal, personalized, and direct, while normal science is slow, contentious, collective, and sensitive to complexity. Science can only play its atypical role if it is staged in the public arena. Some patterns of staging stand out: personalization, visualization, and connection to lived experiences. So far, the staging of science has been successful, but it is fragile. The COVID‐19 crisis shows the potential of well‐staged forms of alliance between science and policy, but when the general assumption is that scientists will “solve” societal “problems,” the staging of science has gone too far.

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“…Arguably, government bodies have a 'dubious record on the guardianship of large-scale datasets, the management of contract relationships and large technology-based projects, and capacity to innovate with newer media and technologies in comparison with firms, third sector organisations, and citizens themselves' (Clarke and Margetts, 2014: 409). Hence, they also lag behind in Big Data, although this situation is changing with technological advancements in developing data-driven solutions for policymakers (Isett and Hicks, 2018). In a survey of public managers about the barriers to adopting data analytics, Sims and Sossei (2012) found that the key challenge identified was inadequate budget resources, closely followed by lack of appropriate staff.…”

Section: Organisational Levelmentioning

confidence: 99%

Big Data and AI – A transformational shift for government: So, what next for research?

Pencheva¹,

Estève

Mikhaylov

2018

Public Policy and Administration

151

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Big Data and Artificial Intelligence will have a profound transformational impact on governments around the world. Thus, it is important for scholars to provide a useful analysis on the topic to public managers and policymakers. This study offers an in-depth review of the Policy and Administration literature on the role of Big Data and advanced analytics in the public sector. It provides an overview of the key themes in the research field, namely the application and benefits of Big Data throughout the policy process, and challenges to its adoption and the resulting implications for the public sector. It is argued that research on the subject is still nascent and more should be done to ensure that the theory adds real value to practitioners. A critical assessment of the strengths and limitations of the existing literature is developed, and a future research agenda to address these gaps and enrich our understanding on the topic is proposed.2

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Providing Public Servants What They Need: Revealing the “Unseen” through Data Visualization

Cited by 17 publications

References 35 publications

Building comprehension to enhance vaccination intentions: Evidence from the United States and Italy

Building comprehension to enhance vaccination intentions: Evidence from the United States and Italy

Staging Science: Authoritativeness and Fragility of Models and Measurement in the COVID‐19 Crisis

Big Data and AI – A transformational shift for government: So, what next for research?

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