Costa Rica

Hackathon against COVID-19

The Hackathon against COVID-19 was an initiative of the Laboratory for Research and Technological Innovation (LIIT) of the State Distance University (Universidad Estatal a Distancia) and the Citizen Group Proactive Crisis, with support of the United Nations Development Program (UNDP). In this event, citizens were invited to develop solutions to counteract the impacts of the Coronavirus pandemic. The winning projects were Agricompra, a mobile App that enables the purchase of agricultural products to support small and medium-sized producers, and Cónfu, a digital platform that allows the tourism industry to generate immediate income by offering future contracts in the present.

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 binding 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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