Mexico

Citizen Evaluation of Mexico City?s Police

The Citizen Evaluation of Mexico City?s Police is an initiative by the Citizen's Council of Mexico City. It was organized in 2008-09 to learn about the activities of those responsible for providing security and seeking justice. The evaluation made Mexico City the only city in the world to evaluate the preventative police, investigators, agents of the Public Prosecutor's Office and all the areas of security in charge of the patrimony and the citizens of Mexico City. The exercise managed to establish a record of participation with 3.52 million citizens participating in the evaluation: in 2008, 1.6 million citizens participated and in 2009, 1.92 million.

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
embedded in the constitution/legislation 
Frequency
regular
Mode of selection of participants
open 
Type of participants
citizens  
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

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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