Similarity, Adequacy, and Purpose: Understanding the Success of Scientific Models

A central component to scientific practice is the construction and use of scientific models. Scientists believe that the success of a model justifies making claims that go beyond the model itself. However, philosophical analysis of models suggests that drawing inferences about the world from successful models is more complex. In this dissertation I develop a framework that can help disentangle the related strands of evaluation of model success, model extendibility, and the ability to draw ampliative inferences about the world from models. I present and critically assess two leading accounts of model assessment, arguing that neither is sufficient to provide a complete understanding of model evaluation. I introduce a more powerful framework incorporating elements of the two views, which can help answer these three questions: What is the target of evaluation in model assessment? How does that evaluation proceed? What licenses us in making inferences about the real world, based on the evaluation of our models as successful? The framework identifies two distinct targets of model evaluation: representational similarity between the model and target system, and the adequacy of the model as a tool to answer questions. Both assessments must be relativized to a purpose, of which there are three general kinds: descriptive, predictive, and explanatory. These purposes differ in the way they inform the similarity relation, which is relevant for the similarity assessment, and the output they produce, which is relevant for the adequacy assessment. Any model can be assessed relative to any purpose, however a model encodes certain decisions made during the model’s construction, which impact its ability to be applied to a new purpose or new domain. My framework shows that extending a model, and drawing inferences from it, depends on its representational similarity. I apply this framework to several examples taken from astrophysics showing in detail how it can help illuminate the structure of the models, as well as make the justification for inferences made from them clear. The final chapter is a detailed analysis of a contemporary debate surrounding the use of models in astrophysics, between proponents of MOND and the standard ΛCDM model

Dark Matter and Dark Energy

Dark Matter and Dark Energy Chapter for The Routledge Companion to Philosophy of Physics. Sections include Observational Evidence for Dark Matter and Dark Energy; Realism; The Cosmological Constant Problem; Underdetermination of Theory by Evidence; Theory Change and Theory Choice; and Models and Computer Simulation

Dark Matter and Dark Energy

Dark Matter and Dark Energy Chapter for The Routledge Companion to Philosophy of Physics. Sections include Observational Evidence for Dark Matter and Dark Energy; Realism; The Cosmological Constant Problem; Underdetermination of Theory by Evidence; Theory Change and Theory Choice; and Models and Computer Simulation

Saint Vincent\u27s Real Estate Policy

Sound financial management was essential for the Congregation and its works to thrive, and Vincent de Paul supervised many of the details. This article traces the formation, growth, and development of the Congregation’s patrimony, which had its basis in the Saint-Lazare priory, buildings, and lands. The patrimony increased through speculation with gifts of real estate, acquisition of land, and the ecclesiastical benefices which were joined to Saint-Lazare’s properties and revenues. Aside from buying land, Vincent also arranged exchanges to increase its profit-earning capacity. He was both a tenant on the lands of nobles and a landlord. While he sought the best tenant farmers, he was also just, and he often leased livestock or advanced seed grain to help them make the most of the farms

Observations, Simulations, and Reasoning in Astrophysics

Astrophysics faces methodological challenges as a result of being a predominantly observation-based science without access to traditional experiments. In light of these challenges, astrophysicists frequently rely on computer simulations. Using collisional ring galaxies as a case study, I argue that computer simulations play three roles in reasoning in astrophysics: (1) hypothesis testing, (2) exploring possibility space, and (3) amplifying observations

Observations, Simulations, and Reasoning in Astrophysics

Astrophysics faces methodological challenges as a result of being a predominantly observation-based science without access to traditional experiments. In light of these challenges, astrophysicists frequently rely on computer simulations. Using collisional ring galaxies as a case study, I argue that computer simulations play three roles in reasoning in astrophysics: (1) hypothesis testing, (2) exploring possibility space, and (3) amplifying observations

When does charisma matter for top-level leaders? Effect of attributional ambiguity

One stream of leadership theory suggests leaders are evaluated via inferential observer processes that compare the fit of the target to a prototype of an ideal (charismatic) leader. Attributional theories of leadership suggest that evaluations depend on knowledge of past organizational performance, which is attributed to the leader's skills. We develop a novel theory showing how inferential and attributional processes simultaneously explain top-level leader evaluation and ultimately leader retention and selection. We argue that observers will mostly rely on attributional mechanisms when performance signals clearly indicate good or poor performance outcomes. However, under conditions of attributional ambiguity (i.e., when performance signals are unclear), observers will mostly rely on inferential processes. In Study 1 we tested our theory in an unconventional context-the U.S. presidential election-and found that the two processes, due to the leader's charisma and country economic performance, interact in predicting whether a leader is selected. Using a business context and an experimental design, in Study 2 we show that CEO charisma and firm performance interact in predicting leader retention, confirming the results we found in Study 1. Our results suggest that this phenomenon is quite general and can apply to various performance domains

The Ombudsman: Are Top Executives Paid Enough? An Evidence-Based Review

Our review of the evidence found that the notion that higher pay leads to the selection of better executives is undermined by the prevalence of poor recruiting methods. Moreover, higher pay fails to promote better performance. Instead, it undermines the intrinsic motivation of executives, inhibits their learning, leads them to ignore other stakeholders, and discourages them from considering the long-term effects of their decisions on stakeholders. Relating incentive payments to executives’ actions in an effective manner is not possible. Incentives also encourage unethical behavior. Organizations would benefit from using validated methods to hire top executives, reducing compensation, eliminating incentive plans, and strengthening stockholder governance related to the hiring and compensation of executives