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Mavericks and lotteries.

Shahar Avin1

  • 1Centre for the Study of Existential Risk, University of Cambridge, Cambridge, UK.

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Funding science by lottery is a growing policy trend, with initiatives like New Zealand

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Area of Science:

  • Science and Technology Policy
  • Philosophy of Science
  • Research Funding Models

Background:

  • Several major funding bodies, including the Health Research Council of New Zealand and the Volkswagen Foundation, have introduced or modified grant programs since 2013.
  • These initiatives, such as 'Explorer Grants', 'Experiment!', and 'Seed Projects', aim to foster novel scientific ideas.
  • A key feature of these programs is the incorporation of random selection by lottery in the grant allocation process.

Purpose of the Study:

  • To review the emergence and conceptual landscape of science funding by lottery.
  • To analyze how different academic fields have supported this policy proposal.
  • To examine the reflection of these arguments in actual science policy and identify areas for further research.

Main Methods:

  • Analytical synthesis of existing arguments for science funding by lottery.
  • Review of institutional changes in science funding mechanisms.
  • Examination of the intersection between philosophy of science and science policy development.

Main Results:

  • The concept of lottery-based science funding has emerged independently across academia, including philosophy of science.
  • Arguments supporting lottery systems have influenced policy, though not always directly or completely.
  • The study identifies synergistic and competing arguments, highlighting needs for further data and analysis.

Conclusions:

  • Lottery-based funding models are being implemented in science, reflecting a growing interest in novel approaches to research allocation.
  • Philosophers of science play a crucial role in shaping science policy through critical analysis and argument synthesis.
  • Effective science policy development requires interdisciplinary collaboration, integrating diverse expertise to inform and refine policy recommendations.