Biotechnology for Tomorrow's World: Scenarios to Guide Directions for Future Innovation
Research output: Contribution to journal › Journal article › Research › peer-review
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Biotechnology for Tomorrow's World : Scenarios to Guide Directions for Future Innovation. / Cornelissen, Marc; Małyska, Aleksandra; Nanda, Amrit Kaur; Lankhorst, René Klein; Parry, Martin A.J.; Saltenis, Vandasue Rodrigues; Pribil, Mathias; Nacry, Philippe; Inzé, Dirk; Baekelandt, Alexandra.
In: Trends in Biotechnology, Vol. 39, No. 5, 2021, p. 438-444.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Biotechnology for Tomorrow's World
T2 - Scenarios to Guide Directions for Future Innovation
AU - Cornelissen, Marc
AU - Małyska, Aleksandra
AU - Nanda, Amrit Kaur
AU - Lankhorst, René Klein
AU - Parry, Martin A.J.
AU - Saltenis, Vandasue Rodrigues
AU - Pribil, Mathias
AU - Nacry, Philippe
AU - Inzé, Dirk
AU - Baekelandt, Alexandra
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - bioeconomy
KW - biotechnology
KW - earning scenarios
KW - microbiome
KW - open innovation
KW - research and innovation
U2 - 10.1016/j.tibtech.2020.09.006
DO - 10.1016/j.tibtech.2020.09.006
M3 - Journal article
C2 - 33162172
VL - 39
SP - 438
EP - 444
JO - Trends in Biotechnology
JF - Trends in Biotechnology
SN - 1879-3096
IS - 5
ER -
ID: 251268142