Emergent scientific management models in research and development
##article.authors##
-
Hiroaki Hamada
Research and Development Department, Araya Inc.
https://orcid.org/0000-0002-7919-9125
https://researchmap.jp/hirotaiyohamada
DOI:
https://doi.org/10.51094/jxiv.510Keywords:
metascience movement, Decentralized Autonomous Organization, Small Business Innovation Research, Focused Research Organization, PARPA, Technology Transfer, Valley of DeathAbstract
Science has been the foundation of innovation and the cornerstone of industrial development. However, various issues have been pointed out, such as stagnation of innovation, increasing costs of R&D, and soaring prices of academic journals. In recent years, an increasing number of private organizations have been trying to solve these problems on individual themes. Among them, Focused Research Organizations (FROs), Private Advanced Research Projects Agency (PARPA), and grant-aided Decentralized Autonomous Organizations (DAOs) have emerged, proposing new scientific management models. Here, we summarize the novel science management models in terms of the "valley of death" of technology transfer. First, we explain the background of the metascience and introduce the new scientific ecosystem. Next, we review Small Business Innovation Research (SBIR), a conventional governmental policy of technology transfer. Then, we review existing and new science management models from the perspective of technology transfer. The current study of the emergent science management models will contribute to understanding the metascience movement.
Conflicts of Interest Disclosure
There is no conflict of interest.Downloads *Displays the aggregated results up to the previous day.
References
Park et al., Papers and patents are becoming less disruptive over time. Nature 613, (2023). https://doi.org/10.1038/s41586-022-05543-x
DiMasi et al., Innovation in the pharmaceutical industry: New estimates of R&D costs. Journal of health economics, 47, 20-33, (2016). https://doi.org/10.1016/j.jhealeco.2016.01.012
Nielsen and Qiu, A Vision of Metascience. San Francisco, (2022). https://scienceplusplus.org/metascience/
Metascience conference 2023. https://metascience.info/.
JUSTICE, 海外学術雑誌価格の推移2022版, (2022) https://contents.nii.ac.jp/justice/documents（参照 2022-01-06）
Open Science Collaboration. Estimating the reproducibility of psychological science. Science, 349(6251), (2015). https://doi.org/ 10.1126/science.aac4716
Shekhtman et al., Mapping Philanthropic Support of Science. arXiv, (2022). https://doi.org/10.48550/arXiv.2206.10661%20Focus%20to%20learn%20more
Marblestone et al., 2022. Unblock research bottlenecks with non-profit start-ups. Nature. 601, (2022). https://doi.org/10.1038/d41586-022-00018-5
濱田太陽, Web3テクノロジーによるサイエンスの再設計の動き, 研究・イノベーション学会, 年次学術大会講演要旨集, 37, (2022) . https://dspace.jaist.ac.jp/dspace/handle/10119/18592
Reinhardt, Shifting the impossible to the inevitable, (2021). https://benjaminreinhardt.com/parpa （参照 2023-09-18）
Committee On Science, U.S. House Of Representatives, One Hundred Fifth Congress, Unlocking Our Future: Toward A New National Science Policy, Committee Print, 105–B, (1998). https://www.govinfo.gov/content/pkg/GPO-CPRT-105hprt105-b/pdf/GPO-CPRT-105hprt105-b.pdf
山口栄一編, イノベーション政策の科学: SBIRの評価と未来産業の創造, 東京大学出版, (2015).
Downloads
Posted
Submitted: 2023-09-18 09:30:40 UTC
Published: 2023-09-21 02:56:07 UTC
Versions
- 2024-03-22 11:34:51 UTC (2)
- 2023-09-21 02:56:07 UTC (1)
Reason(s) for revision
License
Copyright (c) 2023
Hiroaki Hamada
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
