Policy Analytics | ScienceGate

Environmental sustainability and global climate change issues intensify the need for collaborations between scientists and policymakers. Working in virtual spaces exacerbates many of the challenges inherent in these collaborative efforts. Ideal collaborations promote social learning that delivers integrated knowledge through synergies that develop across institutional, occupational and other boundaries. However, impediments arise when individuals with different specializations and degrees of expertise inhabiting different physical and psychological spaces bring different problem-solving methods and presuppositions. Values affect the potential for synergy and the ultimate products of such collaborations. Addressing social learning challenges among different disciplinary traditions requires identifying and then addressing core differences. Through examining a study of occupational values and resulting behaviors of ocean environmental policy actors, this chapter considers collaborations through theories of discourse, actor involvement, social learning, and policy analytics and offers suggestions to improve knowledge co-creation as a potential aid to these critical issues and processes.

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Policy Analytics Tool to Identify Gaps in Environmental Governance

Public Administration and Information Technology - Policy Analytics, Modelling, and Informatics ◽

10.1007/978-3-319-61762-6_13 ◽

2017 ◽

pp. 289-314 ◽

Cited By ~ 2

Author(s):

Julia A. Ekstrom ◽

Gloria T. Lau ◽

Kincho H. Law

Keyword(s):

Environmental Governance ◽

Policy Analytics

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Technology Use, Exposure to Natural Hazards, and Being Digitally Invisible: Implications for Policy Analytics

Policy & Internet ◽

10.1002/poi3.144 ◽

2017 ◽

Vol 9 (1) ◽

pp. 76-108 ◽

Cited By ~ 13

Author(s):

Justin Longo ◽

Evan Kuras ◽

Holly Smith ◽

David M. Hondula ◽

Erik Johnston

Keyword(s):

Natural Hazards ◽

Technology Use ◽

Policy Analytics

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Financial Transaction Tax: Policy Analytics Based on Optimal Trading

Computational Economics ◽

10.1007/s10614-014-9473-4 ◽

2014 ◽

Vol 46 (1) ◽

pp. 103-141 ◽

Cited By ~ 3

Author(s):

Edward W. Sun ◽

Timm Kruse ◽

Min-Teh Yu

Keyword(s):

Tax Policy ◽

Financial Transaction ◽

Optimal Trading ◽

Financial Transaction Tax ◽

Policy Analytics ◽

Transaction Tax

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The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities

Politics and Governance ◽

10.17645/pag.v6i4.1561 ◽

2018 ◽

Vol 6 (4) ◽

pp. 5-17

Author(s):

Justin Longo ◽

Alan Rodney Dobell

Keyword(s):

Policy Analysis ◽

Real Time ◽

Problem Definition ◽

Policy Cycle ◽

Real Time System ◽

Policy Experimentation ◽

Policy Interventions ◽

Policy Analytics ◽

Policy Problems ◽

The Impact

Policy analytics has emerged as a modification of traditional policy analysis, where the discrete stages of the policy cycle are reformulated into a continuous, real-time system of big data collection, data analytics, and ubiquitous, connected technologies that provides the basis for more precise problem definition, policy experimentation for revealing detailed insights into system dynamics, and ongoing assessment of the impact of micro-scale policy interventions to nudge behaviour towards desired policy objectives. Theoretical and applied work in policy analytics research and practice is emerging that offers a persuasive case for the future possibilities of a real-time approach to policymaking and governance. However, policy problems often operate on long time cycles where the effect of policy interventions on behaviour and decisions can be observed only over long periods, and often only indirectly. This article surveys examples in the policy analytics literature, infers from those examples some characteristics of the policy problems and settings that lend themselves to a policy analytics approach, and suggests the boundaries of feasible policy analytics. Rather than imagine policy analytics as a universal replacement for the decades-old policy analysis approach, a sense of this boundary will allow us to more effectively consider the appropriate application of real-time policy analytics.

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