Abstract
The intensive flow of personal data associated with the trend of computerizing aspects of people’s diversity in their daily lives is associated with issues concerning not only people protection and their trust in new technologies, but also bias in the analysis of data and problems in their management and reuse. Faced with a complex problem, the strategies adopted, including technologies and services, often focus on individual aspects, which are difficult to integrate into a broader framework, which can be of effective support for researchers and developers. Therefore, we argue for the development of an end-to-end research infrastructure (RI) that enables trustworthy diversity-aware data within a citizen science community.
| Original language | English |
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| Journal | CEUR Workshop Proceedings |
| Volume | 3456 |
| Pages (from-to) | 220-226 |
| Number of pages | 7 |
| ISSN | 1613-0073 |
| Publication status | Published - 2023 |
| Event | Workshops at the 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2023 - Munich, Germany Duration: 26 Jun 2023 → 27 Jun 2023 |
Conference
| Conference | Workshops at the 2nd International Conference on Hybrid Human-Artificial Intelligence, HHAI-WS 2023 |
|---|---|
| Country/Territory | Germany |
| City | Munich |
| Period | 26/06/2023 → 27/06/2023 |
Bibliographical note
Publisher Copyright:© 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
Keywords
- Citizen Science
- Data Collection
- Data Sharing
- Diversity
- Research Infrastructure