Colombia

Anti-Corruption and Citizen Service Plan

The Anti-Corruption and Citizen Attention Plan was created by the Mayor of Castilla La Nueva together with the civil society and representatives of private entities (i.e., contractors). This plan was designed to prevent and control corruption in the Municipality through collaborative risk mapping, and the identification of mechanisms for accountability, citizen attention and access to information, among other possible initiatives. The citizens contributed to the drafting of this Plan through the platform of the Mayor's Office, in which they could fill out a form, identifying risks and possible solutions.

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
single
Mode of selection of participants
open 
Type of participants
citizens civil society private stakeholders  
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

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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