Urban Platform

Plataforma Urbana (lit. Urban Platform) is a digital platform driven by members of civil society which seeks to inform citizens about the main urban problems so they can contribute in a better way to the urban development of their respective environments. The platform is based on the idea that a city must value the public space and the identity of its neighborhoods, promote contact between its citizens, respect its history and look forward to the future. The promoters of this initiative stress that during the first 10 years of Plataforma Urbana, the portal has contributed to making cities more human. The trajectory of this initiative has become a tool of civil society participation that has spread across much of Latin America.

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?

not backed by constitution nor legislation, nor by any governmental policy or program 
Mode of selection of participants
Type of participants
citizens civil society  
democratic innovation yields no 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
Policy Evaluation


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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