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Kaznatcheev, Artem and Chia-Hua Lin. (2022) "Measuring as a New Mode of Inquiry that Bridges Evolutionary Game Theory and Cancer Biology." Philosophy of Science.
We show that as game theory was transferred from mathematical oncology to experimental cancer biology, a new mode of inquiry was created. Modeling was replaced by measuring. The game measured by a game assay can serve as a bridge that allows knowledge to flow backwards from target (cancer research) to source (game theory). Our finding suggests that the conformist and creative (Houkes and Zwart 2019) types of transfer need to be augmented. We conclude by introducing the expansive and transformative types to get a four-tier typology of knowledge transfer.
Keywords: evolutionary game theory · knowledge transfer · templates
Lin, Chia-Hua. (2022) “Knowledge Transfer, Templates, and the Spillovers.” the European Journal of Philosophy of Science. 12:6.
Modeling frameworks developed to advance knowledge in one discipline are sometimes sourced to study a different subject matter in a different discipline. When can knowledge of the source context be said to be “necessary” for the success of reapplication in a recipient context? This paper develops the notion of spillover and argues that its presence indicates that the recipient context is logically as opposed to conceptually dependent on the source context in its reapplication.
Keywords: Knowledge transfer · Formal templates · Model templates · The Chomsky hierarchy · Cross-disciplinary reapplications · Modeling frameworks
The Society for Philosophy of Science in Practice did an interview on my poster in their newsletter.
The Society for Philosophy of Science in Practice did an interview on my poster in their newsletter.
Photo credit and editor: Sara Green.
Photo credit and editor: Sara Green.
The prize winning poster on “Tool migration” sprang out from the 'method' chapter of Chia-Hua Lin’s dissertation that she expects to defend in 2018. In the poster, she presents an analytic framework developed for exploring epistemic issues related to the importation of scientific tools, especially models, from one regime into another, a phenomenon that she calls 'tool migration.' Specifically, she investigates epistemic issues concerned with the application of theory of computation, originally developed in mathematics and established in computer science and linguistics, but now used in cognitive biology.
Chia-Hua Lin is a Ph.D candidate in the Department of Philosophy at the University of South Carolina. Currently she holds a Write-Up Fellowship at the Konrad Lorenz Institute in Austria to complete her dissertation. Before that, she completed her master's degree at the National Yang-Ming University in Taiwan.
Driven by her research interest in the sciences of animal cognition, her doctoral thesis is a philosophical analysis of the creative ways in which cognitive biologists use theory of computation to both produce hypotheses and design experiments that may inform questions concerning species differences between humans and other animals.
In particular, she takes insights from Mary Morgan's (2011) “Traveling Facts” and asks whether changes to a tool during cross-disciplinary migration necessarily compromises the success of applying the tool in a novel discipline. Applying her framework to analyze the migration of game theory as an example, she discovers that the answer is negative. On the one hand, major changes to a tool may occur due to the uprooting from its home discipline or the resituating to a novel discipline, or both, which lead to what Morgan might call 'a loss of integrity' of the migrating tool. On the other hand, losing integrity does not necessarily undermine the success of applying a migrated tool in a novel disciplinary context.
Chia-Hua Lin wishes to express gratitude to all her discussants at the conference for their comments and questions, especially to Till Grüne-Yanoff and Mary Morgan for their extended discussion on her overall research project.
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