Abstract
The software industry has successfully utilized open source business models namely with software such as Android and Linux. Open source business models allow individuals to collaborate and share information without fear that the shared information will be commercially misused. Given the similarities between software source code and genetic sequences, innovators in the field of synthetic biology feel that open source business models can help further innovation for synthetic biology in a similar manner. However, when determining whether to join an open source project, practitioners must first identify if such a project will be beneficial to their goals. This Comment discuss benefits and risks associated with open source business models as applied to synthetic biology, as well as possible solutions to some of the risks identified. This Comment concludes with possible suggestions to solve some of the issues associated with open source business models with the goal to further current open source initiatives.
Recommended Citation
Tej Singh,
Open Source Business Models and Synthetic Biology,
14
Chi.-Kent J. Intell. Prop.
455
(2015).
Available at:
https://scholarship.kentlaw.iit.edu/ckjip/vol14/iss2/6