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Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
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Risk, individual differences, and environment: an Agent-Based Modeling approach to sexual risk-taking.

Emily Nagoski1, Erick Janssen, David Lohrmann

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Area of Science:

  • Computational Social Science
  • Epidemiology
  • Public Health

Background:

  • Risky sexual behaviors are influenced by individual and environmental factors.
  • Understanding HIV transmission dynamics is crucial for public health interventions.

Purpose of the Study:

  • To explore the utility of Agent-Based Modeling (ABM) in simulating human sexual networks.
  • To assess how variations in sexual motivation affect HIV transmission risk.

Main Methods:

  • Utilized Agent-Based Modeling (ABM) to create artificial societies simulating sexual networks.
  • Incorporated individual differences in sexual motivation (excitation and inhibition).

Main Results:

  • ABM successfully simulated the link between sexual motivation heterogeneity and sexual risk.
  • Models did not reproduce the real-world scale-free distribution of sexual partners.

Conclusions:

  • Agent-Based Modeling (ABM) shows potential for understanding individual-environment interactions in sexual health.
  • ABM can inform targeted interventions for HIV prevention strategies.