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Monitoring the Potential of Lithuania’s Civic Technologies Platforms to Co-create Collective Intelligence

Aelita Skaržauskienė

E-Service Journal2022https://doi.org/10.2979/eservicej.14.1.03article
AJG 1ABDC B
Weight
0.34

What the paper says

This paper presents the findings of a systematic survey that evaluated the potential of online communities (or civic tech) in Lithuania to co-create collective intelligence. Civic intelligence is a form of collective intelligence exercised by a group's capacity to perceive societal problems and its ability to address them effectively. The research subject is "bottom-up" digital-enabled online platforms initiated by Lithuanian public organisations, civic movements, or business entities. Traditional approaches to public engagement remain relevant. Notwithstanding, our enquiry is more interested in the potential of digital-enabled citizens to increase efficient collective performance. This scientific project advances our understanding of the essential pre-conditions in online communities through which collective intelligence is being systematically co-created. By monitoring the performance of civic tech platforms, the scientific question was examined: What are the socio-technological conditions that led the communities to become more intelligent? The results of the web-based assessment were obtained by applying the collective intelligence monitoring technique.

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https://doi.org/https://doi.org/10.2979/eservicej.14.1.03

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@article{aelita2022,
  title        = {{Monitoring the Potential of Lithuania’s Civic Technologies Platforms to Co-create Collective Intelligence}},
  author       = {Aelita Skaržauskienė},
  journal      = {E-Service Journal},
  year         = {2022},
  doi          = {https://doi.org/https://doi.org/10.2979/eservicej.14.1.03},
}

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Monitoring the Potential of Lithuania’s Civic Technologies Platforms to Co-create Collective Intelligence

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Evidence weight

0.34

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.