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Impact assessment in public policy: Towards a Web 2.0 application

Impact assessment in public policy: Towards a Web 2.0 application Impact assessment (IA) is a key method for the legislator to evaluate policies, norms or regulations currently under development. Experts use IA to gather and analyze input from many individuals to obtain clear problem statements, estimations regarding policies etc., and use this information to compare policy alternatives. Currently, the opinions, expertise etc. gathered for IA need to be structured by hand. Thus, the analysis steps of IA are time-consuming, and IA does not scale with the number of persons involved. In this paper, we introduce a collaborative approach for IA. Based on a Web 2.0 architecture, we let a community of individuals derive the potential, downsides and design alternatives of policies collaboratively. Our approach guides individuals through the process of creating structured input. Our approach is fully implemented, and we have evaluated it together with legal experts by means of a small pilot study. Our evaluation indicates that the acceptance of a Web 2.0-based IA application strongly depends on the user interface. More profoundly, it shows that our approach can be an important tool for future IA. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Information Polity IOS Press

Impact assessment in public policy: Towards a Web 2.0 application

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Publisher
IOS Press
Copyright
Copyright © 2010 by IOS Press, Inc
ISSN
1570-1255
eISSN
1875-8754
DOI
10.3233/IP-2010-0198
Publisher site
See Article on Publisher Site

Abstract

Impact assessment (IA) is a key method for the legislator to evaluate policies, norms or regulations currently under development. Experts use IA to gather and analyze input from many individuals to obtain clear problem statements, estimations regarding policies etc., and use this information to compare policy alternatives. Currently, the opinions, expertise etc. gathered for IA need to be structured by hand. Thus, the analysis steps of IA are time-consuming, and IA does not scale with the number of persons involved. In this paper, we introduce a collaborative approach for IA. Based on a Web 2.0 architecture, we let a community of individuals derive the potential, downsides and design alternatives of policies collaboratively. Our approach guides individuals through the process of creating structured input. Our approach is fully implemented, and we have evaluated it together with legal experts by means of a small pilot study. Our evaluation indicates that the acceptance of a Web 2.0-based IA application strongly depends on the user interface. More profoundly, it shows that our approach can be an important tool for future IA.

Journal

Information Polity – IOS Press

Published: Jan 1, 2010

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