LAB.Rio is a laboratory for political innovation created and linked to the city of Rio de Janeiro which has as its main objective to develop virtual and face-to-face tools capable of bringing citizens and the local administration closer together. The main tools developed by Lab.Rio were: the city?s Council of Youth, Desafio Ágora Rio, the Mapeando tool, the Chega Junto and Imersão projects. These tools cover issues such as minorities, inclusion of children and youth in debates about the city, assessment of the execution of works, virtual debate on public policy issues and training of social workers and organized movements. With respect to the policy cycle, such tools seek to expand citizen participation in the process, both in the collection of preferences as well as in evaluation and monitoring.

Institutional design


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?

only backed by a governmental program or policy 
Mode of selection of participants
Type of participants
citizens civil society  
democratic innovation yields a non-binding decision  


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


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

Policy cycle

Agenda setting
Formulation and decision-making


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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