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Big Data For Public Policy: The Quadruple Helix

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  • Julia Lane

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  • Julia Lane, 2016. "Big Data For Public Policy: The Quadruple Helix," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 35(3), pages 708-715, June.
    • Handle: RePEc:wly:jpamgt:v:35:y:2016:i:3:p:708-715
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    File URL: http://hdl.handle.net/10.1002/pam.21921
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    Cited by:

    1. Rouse, Heather L. & Choi, Ji Young & Riser, Quentin H. & Beecher, Constance C., 2020. "Multiple risks, multiple systems, and academic achievement: A nationally representative birth-to-five investigation," Children and Youth Services Review, Elsevier, vol. 108(C).
    2. Dennis Culhane & John Fantuzzo & Matthew Hill & TC Burnett, 2018. "Maximizing the Use of Integrated Data Systems: Understanding the Challenges and Advancing Solutions," The ANNALS of the American Academy of Political and Social Science, , vol. 675(1), pages 221-239, January.
    3. Purva Grover & Arpan Kumar Kar, 2017. "Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 203-229, September.
    4. Elgin, Dallas J., 2018. "Utilizing predictive modeling to enhance policy and practice through improved identification of at-risk clients: Predicting permanency for foster children," Children and Youth Services Review, Elsevier, vol. 91(C), pages 156-167.
    5. Fantuzzo, John W. & LeBoeuf, Whitney A. & Brumley, Benjamin & Coe, Kristen & McDermott, Paul A. & Rouse, Heather, 2019. "What's behind being behind? Using integrated administrative data to enhance our understanding of how publicly monitored early risk experiences uniquely affect children's growth in reading achievement," Children and Youth Services Review, Elsevier, vol. 96(C), pages 326-335.

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