Policy-making 2.0: Unleashing the power of big data for public governance

Open Government: Opportunities and Challenges for Public Governance

Volumn , Issue , 2014, Pages 171-188

  Misuraca, Gianluca ^a   Mureddu, Francesco ^b   Osimo, David ^b  

^a JOINT RESEARCH CENTRE   (Italy)

^b Tech4i2 Ltd   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84961253784     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4614-9563-5_11     Document Type: Chapter

References (40)

1. Azad, S., & Gupta, A. (2011). A quantitative assessment on 26/11 Mumbai attack using social network analysis. Journal of Terrorism Research, 2(2), 4-14.
2. Barton, D., & Court, D. (2012). Making advanced analytics work for you. Harvard Business Review, Getting control of Big Data, 90(10), 78-83.
3. Belton, V., & Steward, T. (2002). Multiple criteria decision analysis. Dordrecht: Kluwer Academic Publishers.
4. Berners-Lee, T. (2010). Long live the web. Scientific American, 303(6), 80-85. doi:10.1038/scientificamerican1210-80.
5. Berners-Lee, T., Hall, W., Hendler, J., Shadbolt, N., & Weitzner, D. (2006). Computer science:Creating a science of the web. Science, 313(5788), 769-771. doi:10.1126/science.1126902.
6. Boyd, D., & Crawford, K. (2011). Six provocations for big data. A decade in internet time. Symposium on the Dynamics of the Internet and Society, September 2011.
7. Broster, D., Misuraca, G., & Bacigalupo, M. (2011). Lifting off towards open government: A report from the EU Belgian Presidency Conference. European Journal of ePractice (Vol.12) Special Issue on: "The Openness of Government", March/ April 2011, Edited by Paul Waller and Trond Arne Undheim. http://www.epractice.eu/en/journal/volume/12.
8. Burkholder, L. (Ed.). (1992). Philosophy and the computer boulder. San Francisco: Westview Press.
9. Byrnes, J. (2012). Big data: Big opportunity, or big headache? In Leading company online. http://leadingcompany.smartcompany.com.au/big-data/big-data-big-opportunity-or-big-headache/ 20120307165. Accessed on 13th July 2013.
10. Cattell, J., Chilukuri, S., Levy, M., (2013) How Big Data can revolutionize pharmaceuticals R&D, McKinsey & Company, April 2013
11. Cerutti, E., Claessens, S., & McGuire, P. (2012). Systemic risks in global banking: What can available data tell us and what more data are needed? BIS Working Papers, No 376 Bank for International Settlements (BIS), ISSN 1020-0959 (print) - ISSN 1682-7678 (online). Available at: https://www.bis.org/publ/work376.pdf.
12. Computing Community Consortium. (2012). Challenges and opportunities with big data. A community white paper developed by leading researchers across the United States.
13. CROSSOVER. (2012a). International Research Roadmap on ICT Tools for Governance and Policy Modelling (Interim Version). Project Deliverable D.2.2.1.
14. CROSSOVER. (2012b). Survey of users' needs results. Project Deliverable D5.1.
15. CROSSOVER. (2013). Analysis of case studies on ICT solutions for governance and policy-modelling. Project Deliverable D5.2.
16. Defense Advanced Research Projects Agency. (2012). Cyber Insider Treat Project (CINDER). http://www.darpa.mil/Our_Work/I2O/Programs/Cyber-Insider_Threat_(CINDER).aspx. Accessed on 11th May 2013
17. DETR-Department of the Environment, Transport and the Regions. (2002). Multi-criteria analysis:A manual. London: Department of Environment, Transport and Regions.
18. EpiFor-Complexity and predictability of epidemics. (2008). Toward a computational infrastructure for epidemic forecasts. http://www.epifor.eu. Accessed on 22nd March 2013
19. EpiWork. (2009). Developing the framework for an epidemic forecast infrastructure. http://www. epiwork.eu. Accessed on 22nd March 2013
20. Freifeld, C., Kenneth D Mandl, K., Reis, B., & Brownstein, J. (2008). HealthMap: Global infectious disease monitoring through automated classification and visualization of internet media reports. Journal of American Medical Informatics Association, 15, 150-157.
21. Gartner. (2011). Pattern-based strategy: Getting value from big data. http://www.gartner.com/technology/ research/pattern-based-strategy. Accessed on 11th February 2013.
22. Ginsberg, J., Mohebbi, M. H., Patel, R., S., Brammer, L., Smolinski, M., S., Brilliant, L., (2009), Detecting influenza epidemics using search engine query data. Nature 457, 1012-1014 (19 February 2009) | doi:10.1038/nature07634
23. Global Research Data Infrastructures 2020. (2010). Final roadmap report. Global research data infrastructures: The big data challenges. http://www.grdi2020.eu/Repository/FileScaricati/6bdc07fb-b21d-4b90-81d4-d909fdb96b87.pdf. Accessed on 22nd March 2013.
24. Groves, P., Kayyali, D., Knott, D., Van Kuiken, S., (2013). The big-data revolution in health care:Accelerating value and innovation. McKinsey & Company, Center for US Health System Reform, Business Technology Office, January 2013
25. Kalakota, R. (2012). A primer on big data, Hadoop and "In-memory" data clouds. http://architects. dzone.com/articles/primer-big-data-hadoop-and. Accessed on 16th May 2013.
26. Latour, B. (2009). 'Tarde's idea of quantification'. In M. Candea (Ed.), The social after gabriel tarde: Debates and assessments (pp. 145-162). London: Routledge.
27. Lazer, D., Pentland, A., Adamic, L., Aral, S., Barabási, A., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., & Van Alstyne, M. (2009). Computational social science. Science, 323, 721-723.
28. Lorenzts-Augify, A. (2013). Big data, fast data, smart data in Wired insight online magazine. www. wired.com/insights/2013/04/big-data-fast-data-smart-data. Accessed on 21th July 2013.
29. Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Hung Byers, A., (2011). "Big data: The next frontier for innovation, competition, and productivity", McKinsey & Company Global Institute.
30. McAfee, A., & Brynjolfsson, E. (2012). Big data: The management revolution. In Harvard Business Review, Getting control of Big Data, October 2012 (pp. 60-68).
31. Misuraca, G., Broster, D., & Centeno, C. (2011). Digital Europe 2030: Designing scenarios for ICT in future governance and policy making. Government Information Quarterly, 29, S121-S131.
32. Mureddu, F., Osimo, D., Misuraca, G., & Armenia, S. (2012). A new roadmap for next generation policy making. In D. Ferriero, T. A. Pardo & H. Qian (Eds.), Proceedings of the 6th international conference on theory and practice of electronic governance (ICEGOV2012). Albany:ACM Press Publishing.
33. Paul, M., & Dredze, M. (2011). You are what you tweet: Analyzing twitter for public health. International AAAI Conference on Weblogs and Social Media, North America, july 2011. http:// www.aaai.org/ocs/index.php/ICWSM/ICWSM11/paper/view/2880. Accessed 09 April 2013.
34. Shadbolt, N., & Berners-Lee, T. (2008). Web science emerges. Scientific American, 299(4), 76-81. doi:10.1038/scientificamerican1008-76.
35. Saaty, T. L. (1980). The analytic hierarchy process: Planning, priority setting, resource allocation. New York: McGraw Hill.
36. Saaty, T. L. (1996). The analytic network process: Decision making with dependence and feedback. RWS Publications, 4922. Ellsworth Ave. "/wiki/Thomas_L._
37. Saaty, T., L., (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. Pittsburgh, Pennsylvania: RWS Publications.
38. Steinberg, D. (2013). Unlocking the big data goldmine for SMBs in Wired insight online magazine. www.wired.com/insights/2013/04/unlocking-the-big-data-goldmine-for-smbs. Accessed on 21st July 2013.
39. United Nations Global Pulse. (2012). Big data for development: Challenges & opportunities. http:// www.unglobalpulse.org/sites/default/files/BigDataforDevelopment-UNGlobalPulseJune2012. pdf. Accessed on 11th May 2013.
40. Vercellis, C. (2013). Big data: la parola a chi li ha già analizzati. ICT4Executive. A cura di Gianni. http://www.ict4executive.it/executive/news/big-data-l-parola-a-chi-li-ha-gia-analizzati. Accessed on 21st July 2013.