TY - JOUR
T1 - Impact of institutional organization on research productivity and multidisciplinarity
AU - García-Rodríguez, Alberto
AU - Barrio, R. A.
AU - Govezensky, Tzipe
AU - Tagüeña, Julia
AU - Pérez, Miguel Robles
AU - Calvet, Humberto Carrillo
AU - Jiménez Andrade, José Luis
AU - Arencibia-Jorge, Ricardo
AU - Kaski, Kimmo
N1 - Funding Information:
This work was partially supported by Conacyt through project 283279.
Publisher Copyright:
Copyright © 2023 García-Rodríguez, Barrio, Govezensky, Tagüeña, Pérez, Calvet, Jiménez Andrade, Arencibia-Jorge and Kaski.
PY - 2023
Y1 - 2023
N2 - In this article, we will describe a model to examine the influence of differently organized institutions on their scientific productivity. We take two extreme cases, on one hand, an institution divided in departments with no collaboration between people in different departments. These could be disciplines or merely projects. On the other hand, we consider an institution that allows interactions between all individuals, without a departmental structure to a department. We compare the results with data from the Institute of Renewable Energy (IER) at UNAM, which has changed its organization and policies during the last 30 years, and we could quantitatively predict the changes observed in productivity and multidisciplinarity. This model can be applied to a broader set of institutions and processes.
AB - In this article, we will describe a model to examine the influence of differently organized institutions on their scientific productivity. We take two extreme cases, on one hand, an institution divided in departments with no collaboration between people in different departments. These could be disciplines or merely projects. On the other hand, we consider an institution that allows interactions between all individuals, without a departmental structure to a department. We compare the results with data from the Institute of Renewable Energy (IER) at UNAM, which has changed its organization and policies during the last 30 years, and we could quantitatively predict the changes observed in productivity and multidisciplinarity. This model can be applied to a broader set of institutions and processes.
KW - mathematical modeling of society
KW - multidiscipline
KW - research structure
KW - scientific collaborations
KW - social networks
UR - http://www.scopus.com/inward/record.url?scp=85164906491&partnerID=8YFLogxK
U2 - 10.3389/fphy.2023.1161019
DO - 10.3389/fphy.2023.1161019
M3 - Article
AN - SCOPUS:85164906491
SN - 2296-424X
VL - 11
SP - 1
EP - 9
JO - Frontiers in Physics
JF - Frontiers in Physics
M1 - 1161019
ER -
