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Episode 6 30.03.2021
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How does the Nobel Prize actually work , and what does its century-old selection process reveal about collaboration in science? Neuroscientist Sten Grillner, a former member of the Nobel Committee, takes us inside the deliberation process and explains why small-scale discovery still outperforms industrial-scale science. Subscribe for more episodes on how real-world collaboration functions. Sten Grillner, renowned for his pioneering work on neural circuits controlling locomotion at the Karolinska Institute, joins Paul Verschure for a conversation that bridges bench science, institutional governance, and international scientific diplomacy. Having served on the Nobel Committee for 14 years and participated in organizations like IBRO and the OECD Global Science Forum, Grillner offers a rare insider perspective on how collaboration operates at the highest levels of science. The conversation opens with Grillner’s research trajectory , decades spent analyzing the neural networks that coordinate movement, using the lamprey as a model organism. His discovery that basal ganglia circuitry has been conserved for 500 million years, from lamprey to humans, demonstrates how working on an unfashionable model system can yield fundamental insights that bandwagon science misses entirely. The Nobel Prize selection process emerges as a fascinating case study in structured collaboration. Grillner describes a system designed over a century ago that still functions: international nominations, written evaluations, historical records that allow committees to revisit past deliberations, and rotating membership that prevents institutional capture. The critical design feature is institutional memory , decisions are not made in isolation but against a documented history of prior assessments. When the system fails, the reasons are instructive. The 2017 Nobel Prize in Literature crisis, where internal conflicts within the Swedish Academy forced a one-year cancellation, illustrates what happens when collaboration breaks down through interpersonal dysfunction. Grillner notes that science prizes have avoided similar crises partly because committee members rotate, whereas the Academy’s lifetime appointments created irresolvable tensions. On the question of large-scale versus small-scale science, Grillner draws a clear distinction. Infrastructure projects like the Human Genome Project serve as enablers , platforms that allow individual researchers to ask questions they could not ask before. But novel discoveries remain the province of individual brains or small teams. The answer is not either-or, but the balance matters: jumping on bandwagons is expensive and rarely produces breakthroughs. His advice for improving scientific collaboration is characteristically direct: stop jumping on the bandwagon each time. Sometimes you have to look away from where everyone else is looking to find what matters. Part of the Ernst Strüngmann Forum series on Collaboration, produced with the Convergent Science Network.
Tagged as:
collaboration Nobel Committee Nobel Prize scientific collaboration Selection Process
About the author call_made
Both the triumphs of humanity and its most evil deeds have resulted from collaboration. In a time where humanity is required to aspire to the former and minimize the latter, the question arises of how collaboration arises and why it fails. Surprisingly, this phenomenon, so central to who we are, is not well understood. Hence, a collaborative effort is required to understand collaboration in its full biological, psychological, sociological, cultural, and economic complexity and to translate this understanding into operational impact. This series of podcasts is one step toward achieving these complementary goals. The Collaboration Podcast presents interviews with people who are central orchestrators of collaboration in various domains including business, government, science, art, health, sustainability, and the military. The discussions were conducted by Prof. Dr. Paul F.M.J. Verschure and members of the Program Advisory Committee of the Ernst Strungmann Forum on Collaboration (https://www.esforum.de/forums/ESF32_Collaboration.html) during 2021 and had the goal to sketch a map of opportunities, challenges, and obstacles in human collaboration. The forum took place in May 2022, and now we would like to share this series of interviews with a broader audience. The full report of the Forum will be published in 2023 by MIT Press. The podcast was produced by the Convergent Science Network (https://www.convergentsciencenetwork.org/). Context: The stability of social systems depends critically on realizing sustainable methods of “collaboration,” yet how and by which means collaboration is achieved is not clearly understood; neither are the conditions or processes that lead to its breakdown or failure. Collaboration can be understood as cooperation between agents toward mutually constructed goals. Part of the reason for our lack of understanding is that the phenomenon of collaboration is, by nature, a highly multidisciplinary problem, and effective research into its complexities has been difficult to achieve across the broad range of scientific and technical disciplines involved. The need for a fundamental understanding of collaboration, however, has become increasingly important. Not only does humankind demand answers as it attempts to address critical challenges at multiple scales (e.g., climate change, migration, enhanced automation, social and economic inequality), but ever-increasing technological and economic means of interconnecting people and societies are disrupting long-established, familiar patterns of how we interact. Radical technological changes that are ongoing have the potential to reshape collaboration in ways that are currently hard to predict or influence (e.g., by altering configurations in interaction, information creation, and modes of communication). On one hand, such changes could disrupt hitherto stable forms of collaboration by affecting critical communication channels and traditional roles, as can be observed in the rapidly changing patterns in governance, commerce, and social interaction. Conversely, technology could lead to the emergence of novel, successful forms of collaboration that deviate from traditional “hierarchical” architectures. Evidence of this can be seen in areas as diverse as highly automated manufacturing plants, the open science movement, collaborative software repositories, user-centered services, and the sharing of economy-based modes of organization. Without a fundamental understanding of the mechanisms, processes, and boundary conditions of collaboration, it is not possible to evaluate or predict which of these possible scenarios are sustainable or even plausible. The Forum “How Collaboration Arises and Why it Fails” (May 8–13, 2022, Location: Frankfurt am Main, Germany) Chairs: Andreas Roepstorff and Paul Verschure Program Advisory Committee: Jenna Bednar, Julia R. Lupp, Bhavani R. Rao , Andreas Roepstorff, Ferdinand von Siemens, and Paul Verschure
Exploring the convergence of neuroscience, robotics, and AI through conversations with leading researchers since 2010.
A project of the Convergent Science Network Foundation.
© CSN Podcasts. Developed by IMCreative & WEBC
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