Modeling and simulation for public policy decision-making: A preliminary causal loop for the case study of legalized abortion and crime

Mahmoud T. Khasawneh, Tariq Tashtoush, Raed Jaradat, Sawsan Abutabenjeh, Mohammad F. Obeid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Modeling and simulation (M&S) has consistently proved itself as a valuable tool that is well-suited for strategic, policy-level decision-making situations. This research attempts to further prove the utility of M&S in that regard. The relationship between legalized abortion and crime is a contentious issue that is much publicized in the popular press. It is an issue that has major implications for public policy. Any understanding of abortion and crime linkage should be viewed from many perspectives, and incorporate other factors contributing to crime, to test the hypothesis that the change in abortion policy in the U.S. had a demonstrable effect on crime rates. This research will build a case for using System Dynamics as a modeling tool through the proposal of a preliminary causal loop for this problem.

Original languageEnglish
Title of host publication67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
EditorsHarriet B. Nembhard, Katie Coperich, Elizabeth Cudney
PublisherInstitute of Industrial Engineers
Pages115-120
Number of pages6
ISBN (Electronic)9780983762461
Publication statusPublished - 2017
Externally publishedYes
Event67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 - Pittsburgh, United States
Duration: May 20 2017May 23 2017

Publication series

Name67th Annual Conference and Expo of the Institute of Industrial Engineers 2017

Conference

Conference67th Annual Conference and Expo of the Institute of Industrial Engineers 2017
Country/TerritoryUnited States
CityPittsburgh
Period5/20/175/23/17

Keywords

  • Modeling and simulation
  • Public policy decision-making
  • System Dynamics

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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