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Integrating regression and multiobjective optimization techniques to analyze scientific perception.

Sandra González-Gallardo1, María Isabel Sánchez-Rodríguez2, Ana B Ruiz1

  • 1Department of Applied Economics (Mathematics), Universidad de Málaga, C/ Ejido s/n, 29013, Málaga, Spain.

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|February 9, 2025
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Summary
This summary is machine-generated.

This study quantifies the scientificity of professions and uses multiobjective optimization to enhance public perception. Findings inform science policy for better resource allocation and increased scientific legitimacy.

Keywords:
Logistic regressionMultiple criteria decision makingScience policyScientific perception

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Area of Science:

  • Social Sciences
  • Science and Technology Studies

Background:

  • Public perception of science is crucial for societal trust and engagement.
  • Scientificity, defined by objective and impartial procedures, influences professional legitimacy.
  • Understanding and improving the scientific perception of various professions is essential for science policy.

Purpose of the Study:

  • To estimate the scientificity levels attributed to different professions.
  • To develop a model for simultaneously improving the scientific perception of multiple professions.
  • To provide insights for science policy on optimizing resource allocation for enhanced scientific legitimacy.

Main Methods:

  • Logistic regression was employed to estimate the scientificity levels of professions.
  • Multiobjective optimization techniques were utilized to explore simultaneous improvements in scientific perception.
  • A multiobjective optimization model was formulated using statistical results to maximize scientific perception.

Main Results:

  • Quantified scientificity levels across various professions.
  • Identified strategies to enhance the scientific perception of professions.
  • Developed an optimization model to guide resource allocation for increased scientific legitimacy.

Conclusions:

  • The study offers a quantitative approach to assessing and improving professional scientificity.
  • Findings can guide science policy in allocating resources to boost public perception of science.
  • Enhancing scientific perception is achievable through strategic interventions and optimized resource management.