AI Article Synopsis
- Today's advancements in biotechnology research can lead to varying levels of future innovation potential, influenced by how future scenarios unfold.
- Monitoring progress through indicators can help prioritize research efforts, ultimately increasing the chances for successful outcomes.
- The paper discusses using learning scenarios up to 2050 to understand how political and societal changes can impact biotechnology innovation, while suggesting a model to enhance collaboration between academia and the biotech industry.
Article Abstract
Depending on how the future will unfold, today's progress in biotechnology research has greater or lesser potential to be the basis of subsequent innovation. Tracking progress against indicators for different future scenarios will help to focus, emphasize, or de-emphasize discovery research in a timely manner and to maximize the chance for successful innovation. In this paper, we show how learning scenarios with a 2050 time horizon help to recognize the implications of political and societal developments on the innovation potential of ongoing biotechnological research. We also propose a model to further increase open innovation between academia and the biotechnology value chain to help fundamental research explore discovery fields that have a greater chance to be valuable for applied research.
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Source |
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7577281 | PMC |
| http://dx.doi.org/10.1016/j.tibtech.2020.09.006 | DOI Listing |
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