The Need for Research-Grade Systems Modeling Technologies for Life Science Education

Tomáš Helikar

doi:10.1016/j.molmed.2020.11.005

The Need for Research-Grade Systems Modeling Technologies for Life Science Education

Tomáš Helikar

Biochemistry

Research output: Contribution to journal › Comment/debate › peer-review

1 Scopus citations

Abstract

The coronavirus disease 2019 (COVID-19) pandemic not only challenged deeply-rooted daily patterns but also put a spotlight on the role of computational modeling in science and society. Amid the impromptu upheaval of in-person education across the world, this article aims to articulate the need to train students in computational and systems biology using research-grade technologies.

Original language	English (US)
Pages (from-to)	100-103
Number of pages	4
Journal	Trends in Molecular Medicine
Volume	27
Issue number	2
DOIs	https://doi.org/10.1016/j.molmed.2020.11.005
State	Published - Feb 2021

Keywords

computational modeling
discipline-based education research
simulations
systems biology
systems thinking

ASJC Scopus subject areas

Molecular Medicine
Molecular Biology

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10.1016/j.molmed.2020.11.005

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title = "The Need for Research-Grade Systems Modeling Technologies for Life Science Education",

abstract = "The coronavirus disease 2019 (COVID-19) pandemic not only challenged deeply-rooted daily patterns but also put a spotlight on the role of computational modeling in science and society. Amid the impromptu upheaval of in-person education across the world, this article aims to articulate the need to train students in computational and systems biology using research-grade technologies.",

keywords = "computational modeling, discipline-based education research, simulations, systems biology, systems thinking",

author = "Tom{\'a}{\v s} Helikar",

note = "Funding Information: The work of T.H. has been supported by the National Institutes of Health (grant #1R35GM119770-04) and the National Science Foundation (grant #1915131). I also thank Brian Couch, Resa Helikar, and aSciStance Ltd for their feedback on the manuscript. T.H. has served as a shareholder and/or has consulted for Discovery Collective, Inc. Publisher Copyright: {\textcopyright} 2020 Elsevier Ltd",

year = "2021",

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AU - Helikar, Tomáš

N1 - Funding Information: The work of T.H. has been supported by the National Institutes of Health (grant #1R35GM119770-04) and the National Science Foundation (grant #1915131). I also thank Brian Couch, Resa Helikar, and aSciStance Ltd for their feedback on the manuscript. T.H. has served as a shareholder and/or has consulted for Discovery Collective, Inc. Publisher Copyright: © 2020 Elsevier Ltd

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N2 - The coronavirus disease 2019 (COVID-19) pandemic not only challenged deeply-rooted daily patterns but also put a spotlight on the role of computational modeling in science and society. Amid the impromptu upheaval of in-person education across the world, this article aims to articulate the need to train students in computational and systems biology using research-grade technologies.

AB - The coronavirus disease 2019 (COVID-19) pandemic not only challenged deeply-rooted daily patterns but also put a spotlight on the role of computational modeling in science and society. Amid the impromptu upheaval of in-person education across the world, this article aims to articulate the need to train students in computational and systems biology using research-grade technologies.

KW - computational modeling

KW - discipline-based education research

KW - simulations

KW - systems biology

KW - systems thinking

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JO - Trends in Molecular Medicine

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The Need for Research-Grade Systems Modeling Technologies for Life Science Education

Abstract

Keywords

ASJC Scopus subject areas

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