Peru

Latin America vs. COVID-19

Latin America vs. Covid19 was a 48-hour hackathon organized by the Massachusetts Institute of Technology, MIT, that focused on finding innovative solutions to the most pressing issues derived from the Covid19 pandemic in Latin America. The hackathon was organized in tracks around the four the main challenges Latin-Americans have faced as a result of the pandemic: supporting the health systems, protecting the most vulnerable, preventing misinformation and empowering the informal economy. The hackathon ultimately is meant to connect the winning team with the partners that can provide the necessary resources to develop their ideas into functional solutions that can be implemented.

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
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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