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Responsibility for the Environmental Impact of Data-Intensive Research: An Exploration of UK Health Researchers.

Gabrielle Natalie Samuel
Published in: Science and engineering ethics (2024)
Concerns about research's environmental impacts have been articulated in the research arena, but questions remain about what types of role responsibilities are appropriate to place on researchers, if any. The research question of this paper is: what are the views of UK health researchers who use data-intensive methods on their responsibilities to consider the environmental impacts of their research? Twenty-six interviews were conducted with UK health researchers using data-intensive methods. Participants expressed a desire to take responsibility for the environmental impacts of their research, however, they were unable to consolidate this because there were often obstacles that prevented them from taking such role responsibilities. They suggested strategies to address this, predominantly related to the need for regulation to monitor their own behaviour. This paper discusses the implications of adopting such a regulatory approach as a mechanism to promote researchers' role responsibilities using a neo-liberal critique.
Keyphrases
  • human health
  • public health
  • healthcare
  • electronic health record
  • mental health
  • big data
  • life cycle
  • cross sectional
  • risk assessment
  • health promotion
  • transcription factor
  • climate change
  • deep learning