Version française
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. An important
characteristic of our approach is that it guides individuals through the
process of creating structured input. Our approach is fully implemented, and we
have evaluated it together with legal experts using the structured-case method.
While our evaluation reveals that the acceptance of web-based IA strongly
depends on the user interface, it also acknowledges that our approach can be an
important tool for future IA.
Source : http://portal.acm.org/citation.cfm?id=1556211
ACM International Conference Proceeding Series; Vol.
390 archive
Proceedings of the 10th Annual International
Conference on Digital Government Research: Social Networks: Making Connections
between Citizens, Data and Government table of
contents
SESSION:
Knowledge management and collaboration table of
contents
Pages :
190-198
, Year of Publication: 2009 , ISBN:978-1-60558-535-2
Authors
Sponsor : Digital Government Society of North America
Publisher Digital Government Society of North America
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