Can big data improve public policy analysis?

We conduct a systematic review targeting the idea of whether big data can improve public policy analysis. The ideas about the benefits and risks of applying big data technologies on public policy analysis are summarized. Big data can provide accurate, proactive, and participatory policy analysis but at the same time it raises risks in data privacy, data misuse and bias, and inequality. We then examine the detailed implementation of big data in each public policy stage. The experiments or practical applications from the relevant literature demonstrate how exactly big data is used to improve policy analysis. This study will guide governments on adopting big data for public policy analysis.

[1]  Alexis Tsoukiàs,et al.  From evidence-based policy making to policy analytics , 2016, Ann. Oper. Res..

[2]  Viktor Mayer-Schnberger,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2013 .

[3]  Rhoda C. Joseph,et al.  Big Data and Transformational Government , 2013, IT Professional.

[4]  Declan Butler,et al.  When Google got flu wrong , 2013, Nature.

[5]  Simon French,et al.  Decision Behaviour, Analysis and Support , 2009 .

[6]  Michael D. Maltz,et al.  Chapter 1 Operations research in the public sector: An introduction and a brief history , 1994, Operations research and the public sector.

[7]  Ines Mergel.  Big Data in Public Affairs Education , 2016 .

[8]  Maureen A. Pirog,et al.  Empirical Innovations in Policy Analysis , 2014 .

[9]  Paul Ohm.  Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization , 2009 .

[10]  Laurie A. Schintler,et al.  Hierarchical Knowledge Relations and Dynamics in the 'Tower of Babel' , 2011 .

[11]  Charles O. Jones.  An introduction to the study of public policy , 1977 .

[12]  Patrick Dunleavy,et al.  The Second Wave of Digital Era Governance , 2010 .

[13]  Stéphane Lavertu,et al.  We All Need Help: “Big Data” and the Mismeasure of Public Administration , 2016 .

[14]  Claire L. Felbinger,et al.  UTILIZATION IN THE POLICY CYCLE: DIRECTIONS FOR RESEARCH* , 1982 .

[15]  Daren C. Brabham.  Crowdsourcing the Public Participation Process for Planning Projects , 2009 .

[16]  Oded Cats,et al.  Improving Public Transport Decision Making, Planning and Operations by Using Big Data: Cases from Sweden and the Netherlands , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

[17]  Laurie A. Schintler,et al.  Big Data for Policy Analysis: The Good, The Bad, and The Ugly , 2014 .

[18]  Rajiv T. Maheswaran,et al.  Following Human Mobility Using Tweets , 2012, ADMI.

[19]  Ruimin Li,et al.  Evaluation Index Development for Intelligent Transportation System in Smart Community Based on Big Data , 2015 .

[20]  Glyn Davis,et al.  What Use is a Policy Cycle? Plenty, if the Aim is Clear , 2003 .

[21]  H. Lasswell.  The decision process : seven categories of functional analysis , 1956 .

[22]  Julia Lane,et al.  Big Data For Public Policy: The Quadruple Helix , 2016 .

[23]  Fenghua Zhu,et al.  A Kind of Novel ITS Based on Space-Air-Ground Big-Data , 2016, IEEE Intelligent Transportation Systems Magazine.

[24]  M. Pirog.  DATA WILL DRIVE INNOVATION IN PUBLIC POLICY AND MANAGEMENT RESEARCH IN THE NEXT DECADE , 2014 .

[25]  Susan Crawford,et al.  Citizen-Centered Governance: The Mayor's Office of New Urban Mechanics and the Evolution of CRM in Boston , 2013 .

[26]  M. Tavenner,et al.  Leveraging the big-data revolution: CMS is expanding capabilities to spur health system transformation. , 2014, Health affairs.

[27]  Silvana Trimi,et al.  Big-data applications in the government sector , 2014, Commun. ACM.

[28]  T. Dye.  Understanding Public Policy , 1972 .

[29]  John W. Fantuzzo,et al.  Actionable Intelligence: Using Integrated Data Systems to Achieve a More Effective, Efficient, and Ethical Government , 2015 .

[30]  Charles L. Cochran,et al.  Public Policy: Perspectives and Choices , 2007 .

[31]  Roger R. Stough,et al.  Big Data and U.S. Public Policy , 2014 .

[32]  Dong-Hyun Lee,et al.  Adoption of green electricity policies: Investigating the role of environmental attitudes via big data-driven search-queries , 2016 .

[33]  Paul M. Schwartz.  Information Privacy in the Cloud , 2013 .

[34]  W. Jann,et al.  4 Theories of the Policy Cycle , 2007 .

[35]  KimGang-Hoon,et al.  Big-data applications in the government sector , 2014 .

[36]  S. Gorman,et al.  Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake , 2010 .

[37]  Robin Miller,et al.  Social Policy, Public Policy: From Problem to Practice , 2001 .

[38]  C. Johnman,et al.  Big data! Big deal? , 2015, Public health.

[39]  R. Clemen,et al.  Soft Computing , 2002 .

[40]  Sean D Dessureault,et al.  Understanding big data , 2016 .

[41]  Hitoshi Matsubara,et al.  Effective Clusterization of Political Tweets Using Kurtosis and Community Duration , 2013, 2013 International Conference on Social Computing.

[42]  Raj Chetty,et al.  The Effects of Exposure to Better Neighborhoods on Children: New Evidence from the Moving to Opportunity Experiment , 2015, The American economic review.

[43]  David Ríos Insua,et al.  Policy analysis and policy analytics , 2016, Ann. Oper. Res..

[44]  David Osimo,et al.  Policy-Making 2.0: Unleashing the Power of Big Data for Public Governance , 2014 .

[45]  Thomas A. Birkland,et al.  An Introduction to the Policy Process: Theories, Concepts and Models of Public Policy Making , 2001 .

[46]  J. Manyika.  Big data: The next frontier for innovation, competition, and productivity , 2011 .

[47]  Xuejiao Zhao,et al.  The governance strategies for public emergencies on social media and their effects: a case study based on the microblog data , 2016, Electron. Mark..

[48]  Peter Parycek,et al.  Big data in the policy cycle: Policy decision making in the digital era , 2016, J. Organ. Comput. Electron. Commer..

[49]  Lada A. Adamic,et al.  Computational Social Science , 2009, Science.

[50]  Sophia Everett,et al.  The Policy Cycle: Democratic Process or Rational Paradigm Revisited? , 2003 .

[51]  R. Bifulco,et al.  CAN NONEXPERIMENTAL ESTIMATES REPLICATE ESTIMATES BASED ON RANDOM ASSIGNMENT IN EVALUATIONS OF SCHOOL CHOICE? A WITHIN-STUDY COMPARISON , 2012 .

[52]  Sören Auer,et al.  A systematic review of open government data initiatives , 2015, Gov. Inf. Q..

[53]  Liping Di,et al.  Delivery of agricultural drought information via web services , 2015, Earth Science Informatics.

[54]  Hongdi Wang,et al.  Analysis of the construction waste management performance in Hong Kong: the public and private sectors compared using big data , 2016 .

[55]  Evert Vedung,et al.  Six models of evaluation , 2012 .

[56]  Clarke E. Cochran,et al.  American Public Policy: An Introduction , 1986 .

[57]  Martin E. P. Seligman,et al.  The Person-Event Data Environment: leveraging big data for studies of psychological strengths in soldiers , 2013, Front. Psychol..

[58]  William N. Dunn,et al.  Public Policy Analysis: An Introduction , 1993 .

[59]  Matthew Alan Cahn,et al.  Public Policy: The Essential Readings , 1994 .

[60]  Omer Tene,et al.  Big Data for All: Privacy and User Control in the Age of Analytics , 2012 .

[61]  Eric Gossett,et al.  Big Data: A Revolution That Will Transform How We Live, Work, and Think , 2015 .

[62]  M. Goodchild,et al.  Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice , 2012 .

[63]  B. Peters.  Advanced Introduction to Public Policy , 2015 .

[64]  R. Zeckhauser,et al.  A primer for policy analysis , 1978 .

[65]  Axel Bruns,et al.  Produsage , 2007, C&C '07.

[66]  Angela Murphy,et al.  Making the invisible visible: the impact of federating groundwater data in Victoria, Australia , 2016 .

[67]  Erik Brynjolfsson,et al.  Big data: the management revolution. , 2012, Harvard business review.

[68]  Ron S. Jarmin,et al.  BIG DATA AND THE TRANSFORMATION OF PUBLIC POLICY ANALYSIS , 2016 .