Venezuela

Public Data Hackathon

The Public Data Hackathon was held in November 2016 with the aim of promoting transparency by designing proposals for data journalism and multimedia narratives. This initiative was organized in two phases. In the first part, a journalism workshop was held for 25 selected women. In the second phase, the hackathon was held, with a total of 50 participants, including the 25 workshop participants. Data management experts, programmers, designers, journalists and students were able to collaborate in the hackathon. The organizers enabled an online registration website for those interested in participating. The hackathon concluded with 6 prototype projects for designed data.

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
restricted 
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

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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