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Other Statistical Lives.

Max A Greenberg1

  • 1Department of Sociology, Boston University, Boston, MA 02215, USA.

International Journal of Environmental Research and Public Health
|October 13, 2021
PubMed
Summary
This summary is machine-generated.

Statistical risk factors have "other lives" beyond data, impacting social interactions and equity. Understanding these nuances is crucial for public health to address social inequity effectively.

Keywords:
risk factorssocial environmentsocial equitystructural determinantsviolence prevention

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Area of Science:

  • Public Health
  • Sociology
  • Risk Assessment

Background:

  • Algorithmic risk assessment is increasingly studied for its role in social inequity.
  • Public health has under-examined the social implications of statistical risk functions.
  • Interpersonal violence prevention programs offer a context to explore these issues.

Purpose of the Study:

  • To theorize the multifaceted nature of statistically produced risk factors.
  • To examine how risk factors are experienced and utilized in social contexts.
  • To identify how understanding these 'other lives' of risk can improve social equity in public health.

Main Methods:

  • Ethnographic data collection.
  • In-depth interviews.
  • Qualitative analysis of lived experiences and professional practices related to risk assessment.

Main Results:

  • Risk factors possess 'past lives' as quantifiable lived experiences.
  • Risk factors have 'professional lives' as a vocabulary shaping social interactions.
  • Risk factors have 'missing lives' as a meaningful category for those identified as at risk.

Conclusions:

  • Recognizing the multiple dimensions of statistical risk is essential for public health.
  • Addressing the social and lived realities of risk can mitigate barriers to social equity.
  • A deeper understanding of risk functions can inform more equitable public health interventions.