Colombia

Threading in Crisis (Brake The Curve)

Threading in Crisis is an initiative from the civil society that consists of a digital monitoring and connecting tool that allows users to visualize other projects and initiatives coming from citizens, the private sector, and civil society that serve to fight the various effects of the COVID-19 pandemic. On the platform, citizens of Colombia can register and report on their needs and their capacities to help, and scroll through already posted ads in order to match with a counterpart. Threading in Crisis uses data from the transnational initiative Stop the Curve.

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 civil society private stakeholders  
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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