Guatemala

Global Urban Datafest Hackathon

The Global Urban Datafest Hackathon was held on February 21, 2015 in Guatemala City. It was organized within the framework of the Global Urban Datafest, which involved 25 cities from around the world. The objective of this hackathon was to bring together experts from different sectors for the ideation and realization of software that uses or interprets open data. At the end of the project, projects were submitted to the committee that organized the worldwide Datafest, which were evaluated and rewarded according to their usefulness and creativity - however, the projects carried out during the Hackathon in Guatemala did not participate in the contest.

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  
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

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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