Tackling the externalities of the vision

Scott W. Cunningham, Claudia Werker, George Papachristos, Kush Wadhwa, Sonja Zillner, Erik Stenstrud, Guillermo Vega Gorgojo, Lorenzo Bigagli, Rachel Finn

Research output: Book/ReportCommissioned report

Abstract

The public policy analysis discussed in this deliverable is part of an extended exercise in the BYTE project to plan and develop roadmaps (please refer for the roadmaps to deliverable 6). In deliverable 5.2 we use the adaptive planning framework and describe how the findings of this and deliverable 5.1 should be used in such a framework.
In Section 2. we discussed qualitative and quantitative policy analyses. The intention of our policy analysis is to systematically explore the opportunities and threats for amplifying positive externalities and avoiding negative externalities emerging from developments driven by big data. Therefore, we carried out a qualitative policy analysis by developing policy templates and systematically analysing the seven cases provided in deliverable 3.2. This procedure helped us to systematically identifying relevant actor groups beyond the specific cases (Section 3.) and their objective hierarchies (Section 4.). Based on that we could identify important policy levers of the seven cases and beyond (Section 5.). As our results provide systematic insights into the developments driven by big data that can be used as a stepping stone for qualitative policy analysis in the future (see Section 6.).
Original languageEnglish
Commissioning bodyFP 7
Number of pages55
Edition0.2
Publication statusPublished - 15 Mar 2016

Keywords

  • big data
  • public policy analysis

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