User interface design principles for peer-to-peer distributed databases for ecological citizen science projects
Bibliographic record
Abstract
Abstract. Citizen science, where participants from outside of academia contribute to data collection or analysis, is an important approach in ecological studies that can significantly improve both modelling outcomes and community participation. However, all ecological citizen science platforms developed to date rely on centralised server architecture for data storage and communication with citizen scientists, which can lead to unsustainable server maintenance costs for project managers as well as data sovereignty issues for the concerned communities, thereby endangering project resilience and sustainability after the end of a funded project. Distributed databases, which rely on peer-to-peer technology to store and share data, can address these concerns, but they are complex and conceptually different from centralised systems. As such, their use involves a very steep learning curve that hinders their adoption by citizen science practitioners in ecology, where neither project leaders nor end users are experts in peer-to-peer technologies. In this article, the authors use formal and open-ended feedback from workshops with academics to discuss how well-planned user interface design can be used to facilitate the adoption of peer-to-peer distributed databases in citizen science and provide generalisable key recommendations for the implementation of user interfaces in citizen science applications. In particular, we discuss several key conceptual differences between centralised and distributed applications, such as key-pair authentication and eventual consistency, that must be efficiently and visually communicated to end users. While there is extremely limited literature available on user interface design for distributed systems (and none so far in the ecological field), we find that lessons learned from other fields transfer well to the field of ecological citizen science, that well-designed user interfaces are key to the adoption of new technologies, and that simplicity and efficiency in interface design are more important than showing average users the details of how the underlying technology works. We propose these recommendations as a blueprint for future research and development of citizen science applications based on peer-to-peer distributed database technologies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".