Argentina

Hackathon Energy Challenge 2030

The Hackathon Energy Challenge 2030 had two editions, one in the city of Mendoza and the other in Comodoro Rivadavia. The hackathon is an initiative of YPF Foundation, carried out with the support of local governments. Its purpose is to invite citizens, representatives of civil society organizations and the private sector to formulate proposals to respond to the energy challenges affecting the country and their localities. The main topics of the hackathons are: Access, Consumption and Energy Generation with a focus on renewable energies. Participants worked in teams advised by experts from YPF.

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
only backed by a governmental program or policy 
Frequency
single
Mode of selection of participants
open 
Type of participants
citizens civil society private stakeholders  
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

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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