Empirical Innovations in Policy Analysis

Blume, Grant; Scott, Tyler A.; Pirog, Maureen A.

doi:10.1111/psj.12050

Cited by 11 publications

(5 citation statements)

References 56 publications

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“…Big Data can also be useful in designing new services to address unmet needs. In healthcare, for example, using data from digital health records and tracking policy outcomes can help to develop new interventions for hard-to-reach populations (Blume et al 2014) or even predict emergency situations before they occur (Archeena and Anita 2015). In terms of superior insight and decision-making capabilities, Big Data has been used by police departments in the U.S. to understand and even proactively intervene to prevent crime occurrences at the point of origin (Hochtl et al 2016).…”

Section: Policy Implementationmentioning

confidence: 99%

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

Pencheva¹,

Estève

Mikhaylov

2018

Public Policy and Administration

142

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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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Section: Policy Implementationmentioning

confidence: 99%

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

Pencheva¹,

Estève

Mikhaylov

2018

Public Policy and Administration

142

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“…The goal of personalization of services involves integration of service provision with user profiling by applying the technical skills of algorithmic formulas creation to interpret citizen participation and to apprehend individual and societal preferences at the point of service access (Desouza, ). Problem‐solving involves working with real‐time information and unfiltered opinions (Blume, Scott, & Pirog, ; Clark & Golder, ) to deliver scientific insights on behavior (Mergel et al, ), and macro insights about society as a whole (Lazer, Kennedy, King, & Vespignani, ). Finally, the goal of productivity and efficiency involves goal characteristics regarding the quality and cost‐effectiveness of services by delivering faster and more accurate insights that are more responsive to society (Manyika et al, ).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Public Values in the Age of Big Data: A Public Information Perspective

Ingrams¹

2018

Policy & Internet

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Public administration scholars have so far largely viewed big data as a kind of technocratic transformation. However, through citizens’ digital records, use of service apps, social media, digital sensors, and other digital footprints, big data also gives policymakers insights into citizen choices and is therefore potentially supportive of public values such as participation and openness. Focusing on two underexplored countries, Germany and the Netherlands, this article develops a public values framework for big data that considers citizen values alongside technocratic ones. It takes the particular case of public information agencies such as ombudsmen and courts of audit, examining the functions they play and whether they have the capacity to address tensions arising between technocratic and citizen values. The study finds that, while capacity does exist, it is heavily tilted toward technocratic values, with no capacity to address participative values. Finally, five propositions are advanced, which describe where the tensions lie and therefore where the attention of public information agencies should best be focused.

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“…We aim to cycle review articles within each substantive area listed in the Yearbook approximately every 3 years. In five of the policy research areas categorized in the Yearbook, we have now cycled two articles, written 3 years apart: policy process theories (Nowlin, 2011, Petridou, 2014, policy analysis (Blume, Scott, & Pirog, 2014;Carlson, 2011), agenda setting (Eissler, Russell, & Jones, 2014;Pump, 2011), public opinion and public policy (Bachner & Hill, 2014;Mullinex, 2011), and education policy (Conner & Rabovsky, 2011;Galey, 2015).…”

Section: S6mentioning

confidence: 99%