Modular projects and 'mean questions': Best practices for advising an International Genetically Engineered Machines team

Jennifer Tsui; Anne S. Meyer

doi:10.1093/femsle/fnw141

Modular projects and 'mean questions': Best practices for advising an International Genetically Engineered Machines team

Jennifer Tsui, Anne S. Meyer^*

^*Corresponding author for this work

Research output: Contribution to journal › Comment/Letter to the editor › Scientific › peer-review

2 Citations (Scopus)

Abstract

In the yearly Internationally Genetically Engineered Machines (iGEM) competition, teams of Bachelor's and Master's students design and build an engineered biological system using DNA technologies. Advising an iGEM team poses unique challenges due to the inherent difficulties of mounting and completing a new biological project from scratch over the course of a single academic year; the challenges in obtaining financial and structural resources for a project that will likely not be fully realized; and conflicts between educational and competition-based goals. This article shares tips and best practices for iGEM team advisors, from two team advisors with very different experiences with the iGEM competition.

Original language	English
Article number	fnw141
Journal	FEMS Microbiology Letters
Volume	363
Issue number	14
DOIs	https://doi.org/10.1093/femsle/fnw141
Publication status	Published - 2016

Keywords

Brainstorming
iGEM
Project advising
Student assessment
Student projects
Synthetic biology

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10.1093/femsle/fnw141

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abstract = "In the yearly Internationally Genetically Engineered Machines (iGEM) competition, teams of Bachelor's and Master's students design and build an engineered biological system using DNA technologies. Advising an iGEM team poses unique challenges due to the inherent difficulties of mounting and completing a new biological project from scratch over the course of a single academic year; the challenges in obtaining financial and structural resources for a project that will likely not be fully realized; and conflicts between educational and competition-based goals. This article shares tips and best practices for iGEM team advisors, from two team advisors with very different experiences with the iGEM competition.",

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Modular projects and 'mean questions': Best practices for advising an International Genetically Engineered Machines team

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Keywords

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