Brazil

Várzea 2020

The participatory contest "Várzea 2022" was organized by the Instituto Cidade Democratica in collaboration with the municipal government of Várzea Paulista within the framework of the "Várzea Paulista Development Plan towards 2022". Open calls were launched to transform the city of Várzea in accordance with the preferences and initiatives of the community. Citizens, civil society, companies, churches and public managers could participate by sending their ideas and projects, which were selected by vote over a digital platform. The project focused particularly on developing a Youth Agenda for this community.

Institutional design

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Formalization: is the innovation embedded in the constitution or legislation, in an administrative act, or not formalized at all?

Frequency: how often does the innovation take place: only once, sporadically, or is it permanent or regular?

Mode of Selection of Participants: is the innovation open to all participants, access is restricted to some kind of condition, or both methods apply?

Type of participants: those who participate are individual citizens, civil society organizations, private stakeholders or a combination of those?

Decisiveness: does the innovation takes binding, non-binding or no decision at all?

Co-governance: is there involvement of the government in the process or not?

Formalization
not backed by constitution nor legislation, nor by any governmental policy or program 
Frequency
single
Mode of selection of participants
open 
Type of participants
citizens  
Decisiveness
democratic innovation yields a non-binding decision  
Co-Governance
yes 

Means


  • Deliberation
  • Direct Voting
  • E-Participation
  • Citizen Representation

Ends


  • Accountability
  • Responsiveness
  • Rule of Law
  • Political Inclusion
  • Social Equality

Policy cycle

Agenda setting
Formulation and decision-making
Implementation
Policy Evaluation

Sources

How to quote

Do you want to use the data from this website? Here’s how to cite:

Pogrebinschi, Thamy. (2017). LATINNO Dataset. Berlin: WZB.

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