Steering the future: expert knowledge and stakeholder voices in autonomous vehicle policy reports

Diana Hicks et al.

Policy and Society2025https://doi.org/10.1093/polsoc/puae041article
ABDC B
Weight
0.41

What the paper says

Abstract The anticipated arrival of autonomous vehicles has created considerable uncertainty for US states because they govern roads. In response, states activated their policy advisory systems. While policy advising at the national level has been studied, less is known about the sub-national level. Similarly, more is known about the use of scientific knowledge by policymakers than about the full range of knowledge deployed in policy advising. This study analyzes reports written for states to help them make sense of an emerging technology in preparation for governance. Committees, university researchers, staff at Department of Transportation, and legislative staff produced different types of reports, for example, more and less academic, focused more or less on topics associated with governance or engineering. Our analysis reveals that state policy advisory systems used two types of processes—convening and expert—and employed three types of expertise—academic, practical, and political—to help prepare to govern this emerging technology. The study provides insight into how states mobilized expertise to address uncertainty around an emerging technology, showing how different actors balanced the need for credible technical knowledge with legitimate stakeholder engagement.

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https://doi.org/https://doi.org/10.1093/polsoc/puae041

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@article{diana2025,
  title        = {{Steering the future: expert knowledge and stakeholder voices in autonomous vehicle policy reports}},
  author       = {Diana Hicks et al.},
  journal      = {Policy and Society},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1093/polsoc/puae041},
}

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Steering the future: expert knowledge and stakeholder voices in autonomous vehicle policy reports

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Evidence weight

0.41

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.