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Crowdsourcing law and policy: A design-thinking approach to crowd-civic systems

conference contribution
posted on 2024-11-03, 13:31 authored by Brian McInnis, Marta Poblet BalcellMarta Poblet Balcell, Alissa Centivany, Karen Levy, Juho Kim, Gilly Leshed
Crowdsourcing technologies, strategies and methods offer new opportunities for bridging existing gaps among law, policymaking, and the lived experience of citizens. In recent years, a number of initiatives across the world have applied crowdsourcing to contexts including constitutional reform, drafting federal bills, and generating local policies. However, crowd-civic systems also come with challenges and risks such as socio-technical barriers, marginalization of specific groups, silencing of interests, etc. Using a designthinking approach, this workshop will address both opportunities and challenges of crowd-civic systems to develop best practices for increasing public engagement with law and policy. The workshop organizers will suggest an initial framework explicitly intended to be criticized by participants and reconfigured through a series of iterative cooperative small-group activities focusing on "diagnosing" the failures of past crowd-civic system efforts and the successes of online action around social issues. While the ultimate objective of the workshop is to develop a best practices guide, we see iterations on the guide as a mechanism for fostering community and collaboration among policymakers, technologists, and researchers around crowd-civic systems for law and policy.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1145/3022198.3022656
  2. 2.
    ISBN - Is published in 9781450346887 (urn:isbn:9781450346887)

Start page

355

End page

361

Total pages

7

Outlet

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2017 - Companion)

Name of conference

CSCW 2017 - Companion

Publisher

Association for Computing Machinery

Place published

United States

Start date

2017-02-25

End date

2017-03-01

Language

English

Copyright

© 2017 Copyright held by the owner/author(s).

Former Identifier

2006106777

Esploro creation date

2022-11-12

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