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Reducing the carbon footprint of research: experience from the NightLife study.

Niamh QuannSteph BurnsKatherine L HullVictoria CluleyCarla RichardsonKateryna MacConaillCarmel ConefreyLeila RooshenasHelen EborallJames O Burton
Published in: BMJ open (2023)
By using remote conferencing software and innovative data collection methods, we demonstrated a total saving of 136 tonnes of carbon dioxide equivalent over three workstreams during the first 18 months of the study, following grant activation on 1 January 2020. In addition to the environmental impact, there were additional benefits seen to cost as well as increased participant diversity and inclusion. This work highlights ways in which trials could be made less carbon intensive, more environmentally sustainable and better value for money.
Keyphrases
  • carbon dioxide
  • machine learning
  • big data
  • data analysis