Brazil

GNova

GNova is a public innovation laboratory created by the federal government of Brazil in 2016. Institutionally, it functions within the scope of the National School of Public Administration (port. ENAP), from where it experimens with new ways of relationship between the State and civil society. The central objective of this space is to promote innovation as a transformative practice of public management in collaboration with actors from organized civil society and the private sector. To do so, it works around three axes: experimentation, prospecting and dissemination. Since its creation, it has already carried out more than 20 projects, among which is the Annual Innovation Competition.

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
only backed by a governmental program or policy 
Frequency
regular
Mode of selection of participants
both 
Type of participants
citizens civil society  
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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