Argentina

SantaLab

SantaLab is a citizen innovation laboratory created by the government of Santa Fe, which became operational in 2016. Santalab fosters citizen innovation initiatives in order to promote the common good in the province, working on issues of transparency, digital participation and sustainable development. In Santalab, citizens not only implement initiatives, but also participate in the co-creation of public policies focused on the previously mentioned fields. Additionally, Santalab carries out awareness-raising and training workshops on the subjects innovation citizen participation and transparency, in which citizens can participate for free.

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
regular
Mode of selection of participants
open 
Type of participants
citizens civil society  
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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