Colombia

Datathon 2020 - Data against Covid and Corruption

The Datathon 2020 was an event promoted by the Vice Presidency of Colombia, organized with the support of the British Embassy in Bogotá, under the slogan "Data against Covid and Corruption". The contest was aimed at young people and students, who registered and formed teams to participate in the event remotely and digitally during the Covid-19 pandemic. The contest proposed to develop participatory digital innovations to monitor the use of public resources and strengthen transparency in public administration and procurement. 133 students and entrepreneurs from various cities and regions of the country were registered, forming 81 teams. 27 were shortlisted from their proposals, among which two were awarded money to develop the ideas presented.

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 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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