Abstract
There are many ways to define policy analytics. In fact, different terms are used for what could be considered the same phenomenon: the use of data and analytical techniques to make policy decisions. Policy analytics, policy modelling, and policy informatics are just some of the most used terms by scholars and practitioners. There is no clarity, however, in terms of where the boundaries of this concept lie and what main analytical methods it includes. First, regarding the conceptual boundaries, some experts argue that policy analytics includes analysis-related tasks only and has nothing to do with data preparation, management, governance, and stewardship. For other experts, policy analytics encompasses all the activities in the data lifecycle and includes elements outside of the analytic sphere, such as information technologies, stakeholder involvement, and a deep understanding of the context of use and application domains. Second, in terms of analytical methods, some analysts consider data mining, machine learning, and other computer science approaches to be the only valid tools. For others, statistical analysis as well as simulation approaches should also be called analytics. In this chapter, we propose a comprehensive and integrative view in which policy analytics goes beyond data analysis and includes management and preparation of data as well as very diverse techniques such as computer simulation, social network analysis, statistics, geographic information systems, and data mining techniques.
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References
Chen H, Chiang RH, Storey VC (2012) Business intelligence and analytics: From big data to big impact. MIS Q 36(4):1165–1188
Conklin EJ (2006) Dialogue mapping: building shared understanding of wicked problems. Wiley, Chichester
Dawes SS, Cresswell AM, Pardo TA (2009) From “need to know” to “need to share”: tangled problems, information boundaries, and the building of public sector knowledge networks. Public Adm Rev 69(3):392–402
Dörry S, Decoville A (2013) Governance and transportation policy networks in the cross-border metropolitan region of Luxembourg: a social network analysis. Eur Urban Reg Stud. doi:10.1177/0969776413490528
Forrester JW (1992) Policies, decisions and information sources for modeling. Eur J Oper Res 59(1):42–63. doi:10.1016/0377-2217(92)90006-U
Gibson A (2010) Local by social. How local authorities can use social media to achieve more for less. NESTA, London
Gilbert N, Troitzsch KG (2002) Simulation for the social scientist. Open University Press, Buckingham
Gil-Garcia JR (2014) Systemic thinking and system dynamics for the analysis of public policies: fundamentals and recommendations. In: CIDE Mexico Working paper
Guan D, Gao W, Su W, Li H, Hokao K (2011) Modeling and dynamic assessment of urban economy–resource–environment system with a coupled system dynamics–geographic information system model. Ecol Indic 11(5):1333–1344
Janssen M, Helbig N (2016) Innovating and changing the policy-cycle: policy-makers be prepared! Gov Inf Q. doi:10.1016/j.giq.2015.11.009. Epub on 29 January 2016
Koliba C, Zia A, Lee B (2011) Governance informatics: utilizing computer simulation models to manage complex governance networks. Innov J Innov Public Sector 16(1):3–25
Luna-Reyes LF, Gil-Garcia JR, Rich E, Andersen DF (2017) Using system dynamics for the analysis of complex social problems and public policy alternatives: fundamentals and recommendations. In: Chen Y-C, Ahn M (eds) Routledge handbook on information technology in government. Routledge, London, pp 71–92
Maliene V, Grigonis V, Palevicius V, Griffiths S (2011) Geographic information system: old principles with new capabilities. Urban Design Int 16(1):1
Marin A, Wellman B (2011) Social network analysis: an introduction. In: Carrington PJ, Scott J (eds) The Sage handbook of social network analysis. Sage, London, pp 11–25
Mohri M, Rostamizadeh A, Talwalkar A (2012) Foundations of machine learning. MIT press, Cambridge
Morecroft J (2007) Strategic modelling and business dynamics: a feedback approach. Wiley, Chichester
Park CH, Johnson EW (2017) An event-driven lens for bridging formal organizations and informal online participation: how policy informatics enables just-in-time responses to crises. In: Gil-Garcia JR et al (eds) Policy analytics, modelling, and informatics: innovative tools for solving complex social problems. Springer, New York (in this volume)
Porter NW (2017) The value of system dynamics modeling in policy analytics and planning. In: Gil-Garcia JR et al (eds) Policy analytics, modelling, and informatics: innovative tools for solving complex social problems. Springer, New York (in this volume)
Puron-Cid G, Gil-Garcia JR, Luna-Reyes LF (2016) Opportunities and challenges of policy informatics: tackling complex problems through the combination of open data, technology and analytics. Int J Public Admin Digit Age 3(2):66–85
Richardson GP, Pugh AL (1981) Introduction to system dynamics modelling with dynamo. Productivity Press, Cambridge
Richardson GP, Andersen DF, Luna-Reyes LF (2015) Joining minds: system dynamics group model building to create public value. In: Bryson JM, Crosby BC, Bloomberg L (eds) Public value and public administration. Georgetown University Press, Washington, pp 53–67
Sayama H (2015) Introduction to the modeling and analysis of complex systems. Open SUNY Textbooks, Binghamton
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Gil-Garcia, J.R., Pardo, T.A., Luna-Reyes, L.F. (2018). Policy Analytics: Definitions, Components, Methods, and Illustrative Examples. In: Gil-Garcia, J., Pardo, T., Luna-Reyes, L. (eds) Policy Analytics, Modelling, and Informatics. Public Administration and Information Technology, vol 25. Springer, Cham. https://doi.org/10.1007/978-3-319-61762-6_1
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DOI: https://doi.org/10.1007/978-3-319-61762-6_1
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