National Academies of Sciences, Engineering, and Medicine. 2020. Safeguarding the Bioeconomy. Washington, DC: The National Academies Press. https://doi.org/10.17226/25525
See Feeding the Planet Sustainably; World Without Waste - A Circular Bioeconomy; Industrialization of Biology - A Roadmap to Accelerate the Advanced Manufacturing of Chemicals; Genetically-Engineered Crops - Past Experience and Future Prospects; Gene Drive Research in Non-Human Organisms - Recommendations for Responsible Conduct; Preparing for Future Products of Biotechnology; and Safeguarding the Bioeconomy
MatsakasM., GaoQ., JanssonS., RovaU., and ChristakopoulosP.2017. Green conversion of municipal solid wastes into fuels and chemicals, Electronic Journal of Biotechnology 26:69-83. https://doi.org/10.1016/j. ejbt.2017.01.004
National Research Council. 1999. Funding a Revolution: Government Support for Computing Research. Washington, DC: The National Academies Press. https://doi.org/10.17226/6323
15.
WilliamsJ. H., JonesR., HaleyB., KwokG., HargreavesJ., FarbesJ., et al. (2021). Carbon-neutral pathways for the United States. AGU Advances, 2, e2020AV000284. https://doi.org/10.1029/2020AV000284
National Academies of Sciences, Engineering, and Medicine. 2020. Safeguarding the Bioeconomy. Washington, DC: The National Academies Press. https://doi.org/10.17226/25525 84 Endnotes BIOFUTURES
18.
Bastos LimaM.G. (2021) Introduction: Political Dimensions of the Bioeconomy. In: The Politics of Bioeconomy and Sustainability. Springer, Cham. https://doi.org/10.1007/978-3-030-66838-9_1
19.
https://cordis.europa.eu/project/id/732064
20.
Also see 21-BAO-3054-Designing-the-Bioeconomy-for-Deep-Decarbonization-Report_v5.pdf
21.
NaraniA., CoffmanP., GardnerJ., LiC., RayA. E., HartleyD. S., StettlerA., KondaN. V. S. N. M., SimmonsB., PrayT. R., and TanjoreD.Predictive modeling to de-risk biobased manufacturing by adapting to variability in lignocellulosic biomass supply. Bioresource Technology. 2017 Nov;243:676-685. doi:10.1016/j.biortech.2017.06.156.
22.
A newly published landscape analysis of U.S. government investments across the bioeconomy is available at https://medium.com/bioeconomy-xyz/building-the-bioeconomy-with-transparency-a-grant-funding-primer-13ebdaa64d0e?sk=21fa55e72224ebf9040c9db41e036514
23.
National Academies of Sciences, Engineering, and Medicine. 2020. Review of the SBIR and STTR Programs at the Department of Energy. Washington, DC: The National Academies Press. https://doi.org/10.17226/25674
Available at https://www.energy.gov/eere/bioenergy/betos-bioenergy-career-map
29.
Other sources of information on career paths can be found at www.solano.edu/biotech/pdfs/biotech-career-path.pdf;https://www.bio-rad.com/sites/default/files/webroot/web/pdf/lse/literature/Bulletin_7398.pdf;https://innovatebio.org/resource/biotech-careers; and https://ebrc.org/resources/education-outreach-activities/
For more information on these programs and how they adapt to the needs of local employers, see National Academies of Sciences, Engineering, and Medicine. 2021. Meeting Regional STEMM Workforce Needs in the Wake of COVID-19: Proceedings of a Virtual Workshop Series. Washington, DC: The National Academies Press. https://doi.org/10.17226/26049
National Academies of Sciences, Engineering, and Medicine. 2017. Preparing for Future Products of Biotechnology. Washington, DC: The National Academies Press. https://doi.org/10.17226/24605
Organization for Economic Cooperation and Development, Innovation Ecosystems in the Bioeconomy, OECD Science and Technology Policy Papers, No. 76, OECD Publishing, Paris, September 2019
42.
https://www.darpa.mil/program/living-foundries
43.
National Academies of Sciences, Engineering, and Medicine. 2020. Safeguarding the Bioeconomy. Washington, DC: The National Academies Press. https://doi.org/10.17226/25525
44.
North American Industry Classification System (NAICS). codes are used by Federal statistical agencies in classifying business establishments for the purpose of collecting, analyzing, and publishing statistical data related to the U.S. business economy.
45.
The FAIR Data Principles are a set of guiding principles in order to make data findable, accessible, interoperable and reusable. Wilkinson, M. D. et al. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3, 160018. https://doi.org/10.1038/sdata.2016.18