Paraguay

Social Map

The social map is a web platform for mutual support and collaboration developed by Civilab. One can register or search through map location for popular cantneens, needs or donations, volunteers or requests for help, and initiatives related to Covid-19. The objective is to offer a platform that centralizes information and assistance possibilities during the Covid-19 pandemic. The Covid-19 initiatives section was developed with the support of Global Shapers Asunción and the web platform with the support of Girolabs. For the mapping of Ollas Populares (popular canteens), the organization was supported by Techo Paraguay.

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
regular
Mode of selection of participants
open 
Type of participants
citizens civil society  
Decisiveness
democratic innovation yields no decision  
Co-Governance
no 

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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