| Autor: |
Johansson, Veronica, Wänström, Linda, Ramme, Kim, Kallio, Sakari, Nilsdotter Swartswe, Johanna, Yousefi Mojir, Kayvan |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| DOI: |
10.5281/zenodo.7317176 |
| Popis: |
We describe in this extended abstract the emergent, multi-disciplinary research project CiLC-S – Crowdsourcing Long COVID Sweden. The information science related part of the project aims to explore i) information needs and strategies of persons afflicted by long term health problems after a COVID-19 infection, and ii) alternative digital methods for inclusive, safe and efficient data collection for research and social response in the COVID-19 pandemic. The purpose of this presentation is to introduce the project and share some early ethical and methodological experiences as a foundation for discussions of current and future possibilities for information science research to respond to individual and societal information needs in the COVID-19 pandemic and similar large-scale social crises through innovative research questions and data collection methods. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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