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Related Experiment Video

Updated: Oct 9, 2025

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RASE: Modeling cumulative disadvantage due to marginalized group status in academia.

Sarah Shandera1, Jes L Matsick2,3, David R Hunter4

  • 1Department of Physics, The Pennsylvania State University, University Park, PA, United States of America.

Plos One
|December 16, 2021
PubMed
Summary
This summary is machine-generated.

The RASE framework models how small inequities accumulate, impacting career trajectories for underrepresented groups in STEM. This mathematical model reproduces observed disparities and aids in recognizing and reducing bias.

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Area of Science:

  • Social Sciences
  • STEM Education
  • Computational Social Science

Background:

  • Underrepresented groups in STEM face various documented challenges.
  • These disparate phenomena can be synthesized to understand cumulative career impacts.
  • Existing research often addresses inequities individually, lacking a cohesive framework.

Purpose of the Study:

  • To propose a novel framework, Resources, Achievement, Status, and Events (RASE), for understanding STEM career trajectories.
  • To develop a mathematical model within the RASE framework to investigate cumulative disadvantages.
  • To create a visualization tool for exploring model outcomes and aiding bias reduction training.

Main Methods:

  • Developed the Resources, Achievement, Status, and Events (RASE) framework, a deterministic cycle with stochastic elements.
  • Constructed a specific mathematical model based on the RASE framework.
  • Utilized a publicly available visualization and networking tool for interactive exploration.

Main Results:

  • The RASE model successfully reproduces observed disparities in academic settings.
  • Demonstrated the cumulative impact of multiple compounding variables on career trajectories.
  • The model highlights how small inequities can lead to significant disadvantages over time.

Conclusions:

  • The RASE framework provides a unified approach to understanding inequities in STEM careers.
  • The developed model and visualization tool can help identify and mitigate bias.
  • Training STEM faculty using this model can foster a more equitable environment.