RT Journal Article
T1 Integrating regression and multiobjective optimization techniques to analyze scientific perception
A1 González-Gallardo, Sandra
A1 Sánchez-Rodríguez, Maria Isabel
A1 Ruiz-Mora, Ana Belén
A1 Luque-Gallego, Mariano
K1 Análisis de regresión logística
K1 Política científica
AB Science holds high prestige in society and understanding publicperception of what is considered scientific is essential. The scientificityof a profession is the degree of scientific legitimacy and is determinedby the quality of its scientific procedures. Higher levels of scientificityare achieved when scientific results are more objective, impartial, andneutral. In this work, we first estimate the scientificity levels attributedto various professions using a logistic regression model. Then, weexplore ways to simultaneously improve their scientific perception bymeans of multiobjective optimization techniques. To this aim, thestatistical results are used to formulate a multiobjective optimizationmodel that maximizes the scientific perception of all the professionsconsidered. The findings provide insights into science policy measures tooptimize resource allocation in order to increase the scientific perceptionof the professions.
PB Springer Nature
YR 2025
FD 2025-02-09
LK https://hdl.handle.net/10630/45859
UL https://hdl.handle.net/10630/45859
LA eng
NO González-Gallardo, S., Sánchez-Rodríguez, M.I., Ruiz, A.B., Luque, M. (2025). Integrating regression and multiobjective optimization techniques to analyze scientific perception, Scientific reports, 2025, 15(1), pp. 4819. DOI: 10.1038/s41598-025-89065-2
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 mar 2026