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

Fingerprint

public policy
threat
planning
Group

Keywords

  • big data
  • public policy analysis

Cite this

Cunningham, S. W., Werker, C., Papachristos, G., Wadhwa, K., Zillner, S., Stenstrud, E., ... Finn, R. (2016). Tackling the externalities of the vision. (0.2 ed.)
Cunningham, Scott W. ; Werker, Claudia ; Papachristos, George ; Wadhwa, Kush ; Zillner, Sonja ; Stenstrud, Erik ; Vega Gorgojo, Guillermo ; Bigagli, Lorenzo ; Finn, Rachel. / Tackling the externalities of the vision. 0.2 ed. 2016. 55 p.
@book{e803d1952d7847a182ae4ca4be26dbbf,
title = "Tackling the externalities of the vision",
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.).",
keywords = "big data, public policy analysis",
author = "Cunningham, {Scott W.} and Claudia Werker and George Papachristos and Kush Wadhwa and Sonja Zillner and Erik Stenstrud and {Vega Gorgojo}, Guillermo and Lorenzo Bigagli and Rachel Finn",
year = "2016",
month = "3",
day = "15",
language = "English",
edition = "0.2",

}

Cunningham, SW, Werker, C, Papachristos, G, Wadhwa, K, Zillner, S, Stenstrud, E, Vega Gorgojo, G, Bigagli, L & Finn, R 2016, Tackling the externalities of the vision. 0.2 edn.

Tackling the externalities of the vision. / Cunningham, Scott W.; Werker, Claudia; Papachristos, George; Wadhwa, Kush; Zillner, Sonja; Stenstrud, Erik; Vega Gorgojo, Guillermo; Bigagli, Lorenzo; Finn, Rachel.

0.2 ed. 2016. 55 p.

Research output: Book/ReportCommissioned report

TY - BOOK

T1 - Tackling the externalities of the vision

AU - Cunningham, Scott W.

AU - Werker, Claudia

AU - Papachristos, George

AU - Wadhwa, Kush

AU - Zillner, Sonja

AU - Stenstrud, Erik

AU - Vega Gorgojo, Guillermo

AU - Bigagli, Lorenzo

AU - Finn, Rachel

PY - 2016/3/15

Y1 - 2016/3/15

N2 - 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.).

AB - 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.).

KW - big data

KW - public policy analysis

M3 - Commissioned report

BT - Tackling the externalities of the vision

ER -

Cunningham SW, Werker C, Papachristos G, Wadhwa K, Zillner S, Stenstrud E et al. Tackling the externalities of the vision. 0.2 ed. 2016. 55 p.