Interdisciplinary Collaborations: Clearing Hurdles

Bak-Maier, Magdalena; Inger, S.

doi:10.1126/science.caredit.a0700006

Cited by 2 publications

(3 citation statements)

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“…The synthesis model depicts so-called disciplinary silos as barriers to innovation, and promotes softening interdisciplinary boundaries to catalyze new practices and insights, as well as the emergence of new fields. This model is highly influential in policy circles (Sproull and Hall 1987; Powell, Koput, and Smith-Doerr 1996; NAS 2004; Bak-Maier and Inger 2007; Rhoten and Pfirman 2007; Stokols et al 2008; but see Barry, Born, and Weszkalnys 2008 for a critical take).…”

Section: Collaborative Interdisciplinary Researchmentioning

confidence: 99%

Calibrating Translational Cancer Research

Centellas

Smardon

Fifield

2013

Science, Technology, & Human Values

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Based on an original ethnographic study of a translational cancer research institute in the United States, we propose calibration as a process that makes interdisciplinary collaboration without consensus possible. Calibration refers to ongoing, day-to-day negotiation and alignment of personal identities, disciplinary commitments, and research group customs that occur during face-to-face group deliberations around everyday research concerns. Calibration provides a mechanism that explains how collaboration without consensus is possible. Crucially, it does not presuppose that interdisciplinary collaboration either indicates or causes the blurring or softening of disciplinary boundaries. We argue that at the microsociological level it may be disciplinary robustness, rather than synthesis, that contributes to interdisciplinary innovation.

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Section: Collaborative Interdisciplinary Researchmentioning

confidence: 99%

Calibrating Translational Cancer Research

Centellas

Smardon

Fifield

2013

Science, Technology, & Human Values

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“…Choosing the form of the equations will impose assumptions on the result that should not be forgotten when interpreting the solution (see Case Studies for examples of valid and overstretching conclusions). For a classically trained plant biologist, this is a great opportunity to explore establishing an interdisciplinary (Palmer, 2018) collaboration or further mathematical training (Bak-Maier and Inger, 2007;Kluger and Bartzke, 2020).…”

Section: Mathematical Theorymentioning

confidence: 99%

“…Interdisciplinary collaborations with mathematicians and statisticians are an invaluable solution to this lack of knowledge. However, careful communication must be maintained between collaborators to make sure the original biological question does not become lost in the details (Bak-Maier and Inger, 2007;Palmer, 2018;Kluger and Bartzke, 2020). Biologists are often competent users of specific programs that model processes of interest with a general understanding of how these models relate to others, yet knowledge gaps remain that can lead to the misinterpretation of the model or a lack of knowledge of field standards for applying certain formalisms.…”

Section: Introductionmentioning

confidence: 99%

A Life Cycle for Modeling Biology at Different Scales

et al. 2021

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Modeling has become a popular tool for inquiry and discovery across biological disciplines. Models allow biologists to probe complex questions and to guide experimentation. Modeling literacy among biologists, however, has not always kept pace with the rise in popularity of these techniques and the relevant advances in modeling theory. The result is a lack of understanding that inhibits communication and ultimately, progress in data gathering and analysis. In an effort to help bridge this gap, we present a blueprint that will empower biologists to interrogate and apply models in their field. We demonstrate the applicability of this blueprint in two case studies from distinct subdisciplines of biology; developmental-biomechanics and evolutionary biology. The models used in these fields vary from summarizing dynamical mechanisms to making statistical inferences, demonstrating the breadth of the utility of models to explore biological phenomena.

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Interdisciplinary Collaborations: Clearing Hurdles

Cited by 2 publications

References 0 publications

Calibrating Translational Cancer Research

Calibrating Translational Cancer Research

A Life Cycle for Modeling Biology at Different Scales

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