There is a newer version of the record available.

Published June 4, 2021 | Version v1
Other Open

Crowdsourcing Long COVID Sweden (CiLC-S): Exploring Digital Methods and Voluntary Health Data for Research and Response in Social Crises

  • 1. University of Borås
  • 2. Linköping University
  • 3. Moment Children and Youth Medical Centre, Vällingby
  • 4. University of Skövde

Description

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.

Files

IST_2021_conference_abstract_CiLC_S.pdf

Files (181.6 kB)

Name Size Download all
md5:19e3c8b99fd3a611670c436df82dcee0
181.6 kB Preview Download