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Policy analysis and policy analytics

Author

Listed:
  • Katherine A. Daniell

    (Australian National University)

  • Alec Morton

    (University of Strathclyde)

  • David Ríos Insua

    (CSIC)

Abstract

Working from a description of what policy analysis entails, we review the emergence of the recent field of analytics and how it may impact public policy making. In particular, we seek to expose current applications of, and future possibilities for, new analytic methods that can be used to support public policy problem-solving and decision processes, which we term policy analytics. We then review key contributions to this special volume, which seek to support policy making or delivery in the areas of energy planning, urban transportation planning, medical emergency planning, healthcare, social services, national security, defence, government finance allocation, understanding public opinion, and fire and police services. An identified challenge, which is specific to policy analytics, is to recognize that public sector applications must balance the need for robust and convincing analysis with the need for satisfying legitimate public expectations about transparency and opportunities for participation. This opens up a range of forms of analysis relevant to public policy distinct from those most common in business, including those that can support democratization and mediation of value conflicts within policy processes. We conclude by identifying some potential research and development issues for the emerging field of policy analytics.

Suggested Citation

  • Katherine A. Daniell & Alec Morton & David Ríos Insua, 2016. "Policy analysis and policy analytics," Annals of Operations Research, Springer, vol. 236(1), pages 1-13, January.
    • Handle: RePEc:spr:annopr:v:236:y:2016:i:1:d:10.1007_s10479-015-1902-9
    DOI: 10.1007/s10479-015-1902-9
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    References listed on IDEAS

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    1. Kunreuther, Howard & Heal, Geoffrey, 2003. "Interdependent Security," Journal of Risk and Uncertainty, Springer, vol. 26(2-3), pages 231-249, March-May.
    2. Jie Xu & Jun Zhuang, 2016. "Modeling costly learning and counter-learning in a defender-attacker game with private defender information," Annals of Operations Research, Springer, vol. 236(1), pages 271-289, January.
    3. Yisha Xiang & Jun Zhuang, 2016. "A medical resource allocation model for serving emergency victims with deteriorating health conditions," Annals of Operations Research, Springer, vol. 236(1), pages 177-196, January.
    4. Alexis Tsoukiàs & Gilberto Montibeller & Giulia Lucertini & Valérie Belton, 2013. "Policy Analytics: An Agenda for Research and Practice," Working Papers hal-00874307, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Justin Longo & Alan Rodney Dobell, 2018. "The Limits of Policy Analytics: Early Examples and the Emerging Boundary of Possibilities," Politics and Governance, Cogitatio Press, vol. 6(4), pages 5-17.
    2. Maria Franca Norese & Diana Rolando & Rocco Curto, 2023. "DIKEDOC: a multicriteria methodology to organise and communicate knowledge," Annals of Operations Research, Springer, vol. 325(2), pages 1049-1082, June.
    3. Nicolas Fayard & Chabane Mazri & Alexis Tsouki`as, 2021. "Is the Capability approach a useful tool for decision aiding in public policy making?," Papers 2101.09357, arXiv.org.
    4. Lang, Dengxiao & Ertsen, Maurits W., 2023. "Modelling farmland dynamics in response to farmer decisions using an advanced irrigation-related agent-based model," Ecological Modelling, Elsevier, vol. 486(C).
    5. Simonofski, Anthony & Handekyn, Phebe & Vandennieuwenborg, Celien & Wautelet, Yves & Snoeck, Monique, 2023. "Smart mobility projects: Towards the formalization of a policy-making lifecycle," Land Use Policy, Elsevier, vol. 125(C).
    6. Md Altab Hossin & Jie Du & Lei Mu & Isaac Owusu Asante, 2023. "Big Data-Driven Public Policy Decisions: Transformation Toward Smart Governance," SAGE Open, , vol. 13(4), pages 21582440231, December.
    7. Adebanji, Atinuke & Rios Insua, David & Ruggeri, Fabrizio, 2022. "Dynamic linear models for policy monitoring. The case of maternal and neonatal mortality in Ghana," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    8. Yves Meinard & Irene Pluchinotta, 2022. "C-KE/I: A pragmatic framework for policy innovation," Post-Print hal-03881635, HAL.

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