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Translational data analytics in exposure science and environmental health: a citizen science approach with high school students.

Ayaz HyderAndrew A May
Published in: Environmental health : a global access science source (2020)
Initial sensor-based data collection efforts showed reasonable agreement with land-based federal reference monitors but more work needs to be done to validate these results. Lessons learned were: 1) the need for sustained funding because citizen science-based project timelines are a function of community needs/capacity and building interdisciplinary rapport in academic settings and 2) the need for a dedicated staff to manage academic-community relationships.
Keyphrases
  • public health
  • big data
  • healthcare
  • mental health
  • electronic health record
  • quality improvement
  • climate change
  • artificial intelligence
  • data analysis
  • life cycle
  • water quality