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Nudging transparent behavioural science and policy.

Olivia M Maynard1, Marcus R Munafò1

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This summary is machine-generated.

Academics and policymakers have different priorities, challenging behavioral science research in policy. Solutions like pre-registration and open data enhance transparency, with nudges incentivizing partner engagement.

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Area of Science:

  • Behavioral science
  • Policy studies
  • Research integrity

Background:

  • Academic and policymaker priorities often diverge, creating unique challenges for interdisciplinary teams.
  • The Behavioural Insights Team (BIT) operates at the intersection of rigorous academic research and policy implementation.
  • Working with non-academic stakeholders, such as policymakers, introduces specific threats to research transparency and reproducibility.

Purpose of the Study:

  • To identify and outline threats to research transparency and reproducibility in policy-engaged behavioral science.
  • To propose practical solutions for enhancing research integrity when collaborating with policymakers.
  • To suggest an incentive mechanism to encourage non-academic partners' participation in transparent research practices.

Main Methods:

  • The study outlines threats by analyzing the operational context of behavioral science research within policy settings.
  • It reviews existing practices and identifies potential vulnerabilities in research performance, communication, verification, and evaluation.
  • Proposed solutions are informed by principles of behavioral science and research transparency.

Main Results:

  • Key threats to research transparency include differing stakeholder priorities and communication styles.
  • Practices such as pre-registering study protocols, open data access, and publishing results summaries are identified as crucial for transparency.
  • The study highlights the need for mechanisms to encourage collaboration from non-academic partners.

Conclusions:

  • Bridging the gap between academic rigor and policy relevance requires proactive measures to ensure research transparency.
  • Implementing solutions like pre-registration and open data can mitigate risks associated with policy-engaged research.
  • A 'nudge' or incentive structure can effectively encourage non-academic partners to adopt transparent research practices, fostering greater trust and reproducibility.