Scholarly Communication’s Mess: A Game-Theoretic Approach to Analysis

Author(s):  
John M. Budd

This presentation constitutes a trial of a game-theory-based model that is intended to estimate the publication rate and costs of publications by faculty members at research universities. The data used here are taken from journals in five social science disciplines and are used to create the mathematical model. The presentation is intended to fit within the information management them of the conference.Cette communication constitue un essai d'un modèle basé sur la théorie des jeux dont l'objectif est d'estimer le taux de publication et les coûts de publication du corps professoral dans les universités de recherche. Les données utilisées proviennent de publications issues de cinq disciplines des sciences sociales afin de créer un modèle mathématique. Cette communication s'inscrit dans le thème de gestion de l'information.




1982 ◽  
Vol 55 (3) ◽  
pp. 367 ◽  
Author(s):  
Carl Alan Batlin ◽  
Susan Hinko


2019 ◽  
Vol 526 ◽  
pp. 120890 ◽  
Author(s):  
Alexandros Rigos ◽  
Erik Mohlin ◽  
Enrico Ronchi


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Maya Diamant ◽  
Shoham Baruch ◽  
Eias Kassem ◽  
Khitam Muhsen ◽  
Dov Samet ◽  
...  

AbstractThe overuse of antibiotics is exacerbating the antibiotic resistance crisis. Since this problem is a classic common-goods dilemma, it naturally lends itself to a game-theoretic analysis. Hence, we designed a model wherein physicians weigh whether antibiotics should be prescribed, given that antibiotic usage depletes its future effectiveness. The physicians’ decisions rely on the probability of a bacterial infection before definitive laboratory results are available. We show that the physicians’ equilibrium decision rule of antibiotic prescription is not socially optimal. However, we prove that discretizing the information provided to physicians can mitigate the gap between their equilibrium decisions and the social optimum of antibiotic prescription. Despite this problem’s complexity, the effectiveness of the discretization solely depends on the type of information available to the physician to determine the nature of infection. This is demonstrated on theoretic distributions and a clinical dataset. Our results provide a game-theory based guide for optimal output of current and future decision support systems of antibiotic prescription.



2021 ◽  
pp. 127407
Author(s):  
Yuhan Bai ◽  
Kai Fan ◽  
Kuan Zhang ◽  
Xiaochun Cheng ◽  
Hui Li ◽  
...  


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