Please use this identifier to cite or link to this item: https://hdl.handle.net/10593/25478
Title: Modeling in Biology: looking backward and looking forward
Authors: Orzack, Steven Hecht
McLoone, Brian
Keywords: biology
model building
model testing
philosophy of biology
subdisciplines of biology
Issue Date: 2019
Publisher: Wydawnictwo Naukowe UAM
Citation: Studia Metodologiczne, 2019, nr 39, s.73-98.
Abstract: Understanding modeling in biology requires understanding how biology is organized as a discipline and how this organization influences the research practices of biologists. Biology includes a wide range of sub-disciplines, such as cell biology, population biology, evolutionary biology, molecular biology, and systems biology among others. Biologists in sub-disciplines such as cell, molecular, and systems biology believe that the use of a few experimental models allows them to discover biological universals, whereas biologists in sub-disciplines such as ecology and evolutionary biology believe that the use of many different experimental and mathematical models is necessary in order to do this. Many practitioners of both approaches misunderstand best practices of modeling, especially those related to model testing. We stress the need for biologists to better engage with best practices and for philosophers of biology providing normative guidance for biologists to better engage with current developments in biology. This is especially important as biology transitions from a “data-poor” to a “data-rich” discipline. If 21st century biology is going to capitalize on the unprecedented availability of ecological, evolutionary, and molecular data, of computational resources, and of mathematical and statistical tools, biologists will need a better understanding of what modeling is and can be.
URI: http://hdl.handle.net/10593/25478
ISSN: 0039424X
Appears in Collections:Studia Metodologiczne, 2019, nr 39

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