Guatemala

Incident Map

The Incident Map is a platform developed by the NGO "Security for Our Community" (Span. Seguridad para nuestra Comunidad) that allows reporting incidents of insecurity, violence, robbery, suicide, rape, kidnapping and extortion. The objective of this initiative is to monitor and maintain a record of crimes and violence in the country. The initiative is currently managed by "Security for Our Community" and Villa Nueva's local government. Through the webpage, citizens can access a map that contains information on updated cases of criminality in the different areas of Villa Nueva. Additionaly, the webpage allows citizens to register and report criminal incidents.

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  
Decisiveness
democratic innovation yields no 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

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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