Physicists, who gained training in electronics during World War II, led the early push for the development of image tubes in astronomy. Vannevar Bush’s concern for scientific prestige led him to form a committee to investigate image tube technology, and postwar federal funding for the sciences helped the CITC sustain development efforts for a decade. During those development years, the CITC acted as a mediator between the astronomical community and the image tube producers but failed to engage astronomers concerning various development paths, resulting in a user group without real buy-in on the final product.
After a decade of development efforts, the CITC designed an image tube, which Radio Corporation of American manufactured, and, with additional funding from the National Science Foundation, the committee distributed to observatories around the world. While excited about the potential of electronic imaging, few astronomers used the Carnegie-developed device regularly. Although the CITC’s efforts did not result in an overwhelming adoption of image tubes by the astronomical community, examining the design, funding, production, and marketing of the Carnegie image tube shows the many and varied processes through which astronomers have acquired new tools. Astronomers’ use of the Carnegie image tube to acquire useful scientific data illustrates factors that contribute to astronomers’ adoption or non-adoption of those new tools.
criteria of scientific knowledge are up for grabs. A central issue is the status of evolutionary genetics models, which some argue cannot coherently be used with complex gene regulatory network (GRN) models to explain the same evolutionary phenomena. Despite those claims, many researchers use evolutionary genetics models jointly with GRN models to study evolutionary phenomena.
How do those researchers deploy those two kinds of models so that they are consistent and compatible with each other? To address that question, this dissertation closely examines, dissects, and compares two recent research projects in which researchers jointly use the two kinds of models. To identify, select, reconstruct, describe, and compare those cases, I use methods from the empirical social sciences, such as digital corpus analysis, content analysis, and structured case analysis.
From those analyses, I infer three primary conclusions about projects of the kind studied. First, they employ an implicit concept of gene that enables the joint use of both kinds of models. Second, they pursue more epistemic aims besides mechanistic explanation of phenomena. Third, they don’t work to create and export broad synthesized theories. Rather, they focus on phenomena too complex to be understood by a common general theory, they distinguish parts of the phenomena, and they apply models from different theories to the different parts. For such projects, seemingly incompatible models are synthesized largely through mediated representations of complex phenomena.
The dissertation closes by proposing how developmental evolution, a field traditionally focused on macroevolution, might fruitfully expand its research agenda to include projects that study microevolution.
The relationship between science and religion in the modern day is complex to the point that the lines between them are often blurred. We have a need to distinguish the two from each-other for a variety of practical reasons. Various philosophies, theories, and tests have been suggested on the interaction between the two and how they are subdivided. One of the sets of criteria which has been shown to work was originally introduced in the opinion of Judge Overton in the case of McLean v Arkansas. McLean v Arkansas is a pivotal case in that it gave us a useful definition of what science is and isn’t in the context of the law. It used the already established Lemon test to show what counts as the establishment of religion. Given the distinction by Judge Overton, there are questions as to whether or not there is even overlap or tension between science and religion, such as in the theory of Stephen Jay Gould’s Nonoverlapping Magisteria (NOMA). What we find in this thesis is that the NOMA principle is doubtful at best. Through the discussion of McLean v. Arkansas, NOMA, and the commentaries of Professors Larry Laudan and Michael Ruse, this thesis develops a contextualization principle that can be used as a guide to develop further theories, particularly regarding the divisions between science and religion.