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Building integrated explanatory models of complex biological phenomena: From Mill’s methods to a causal mosaic

In Michela Massimi, Jan-Willem Romeijn & Gerhard Schurz (eds.), EPSA15 Selected Papers: The 5th conference of the European Philosophy of Science Association in Düsseldorf. Cham: Springer. pp. 221-232 (2017)

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  1. On the plains and prairies of Minnesota: The role of mathematical statistics in biological explanation.Emily R. Grosholz - 2021 - Synthese 199 (1-2):5377-5393.
    In this essay, I consider the use of mathematical statistics in the study of biological systems in the field, using as case studies the work of Ruth Geyer Shaw and her colleagues at the University of Minnesota. To address practical issues, like how to enhance prairie restoration, and how to prepare for (and perhaps prevent) the effect of rapid climate change, she and her colleagues combine mathematical modeling and intensive data collection in the field. Using ANOVA and the more versatile (...)
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  • Perspectives on integrating genetic and physical explanations of evolution and development.Alan Love, Thomas Stewart, Gunter Wagner & Stuart Newman - 2017 - Integrative and Comparative Biology:icx121.
    In the 20th century, genetic explanatory approaches became dominant in both developmental and evolutionary biological research. By contrast, physical approaches, which appeal to properties such as mechanical forces, were largely relegated to the margins, despite important advances in modeling. Recently, there have been renewed attempts to find balanced viewpoints that integrate both biological physics and molecular genetics into explanations of developmental and evolutionary phenomena. Here we introduce the 2017 SICB symposium “Physical and Genetic Mechanisms for Evolutionary Novelty” that was dedicated (...)
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