The Emergence and Future of Public Health Data Science

Jeff Goldsmith, Yifei Sun, Linda P. Fried, Jeannette Wing, Gary W. Miller, Kiros Berhane

Research output: Contribution to journalComment/debatepeer-review

Abstract

Data science is a newly‐formed and, as yet, loosely‐defined discipline that has nonetheless emerged as a critical component of successful scientific research. We seek to provide an understanding of the term “data science,” particularly as it relates to public health; to identify ways that data science methods can strengthen public health research; to propose ways to strengthen education for public health data science; and to discuss issues in data science that may benefit from a public health perspective.

Original languageEnglish (US)
Article number1604023
JournalPublic Health Reviews
Volume42
DOIs
StatePublished - Apr 26 2021
Externally publishedYes

Keywords

  • big data
  • computational methods
  • ethics
  • interdisciplinary science
  • machine learning
  • reproducibility

ASJC Scopus subject areas

  • Community and Home Care
  • Public Health, Environmental and Occupational Health

Fingerprint

Dive into the research topics of 'The Emergence and Future of Public Health Data Science'. Together they form a unique fingerprint.

Cite this