Ecuador

Citizen Datathon

Citizen Datathon is an initiative of Grupo Faro that aims to encourage citizen participation in activities related to the collection of data on different community issues and problems. During the Datathons, citizens can participate in data collection, either electronically through online forms or through face-to-face surveys. With the data collected and generated by citizens, social problems are identified to improve decision making in the implementation of public programs. To date, several Datathons have been held in the cities of: Quito, Portoviejo, Loja, Tena, Ambato and Latacunga; where different topics such as urban mobility, security and public spaces were addressed.

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
sporadic
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.

Would you like to contribute to our database?

Send us a case