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Global, selective, or both? The case for differentiated cooperation in AI governance

Nora von Ingersleben-Seip & Daniel Mügge

Policy Science2026https://doi.org/10.1007/s11077-026-09606-yarticle
AJG 1ABDC B
Weight
0.50

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The online version contains supplementary material available at 10.1007/s11077-026-09606-y.

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https://doi.org/https://doi.org/10.1007/s11077-026-09606-y

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@article{nora2026,
  title        = {{Global, selective, or both? The case for differentiated cooperation in AI governance}},
  author       = {Nora von Ingersleben-Seip & Daniel Mügge},
  journal      = {Policy Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s11077-026-09606-y},
}

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Global, selective, or both? The case for differentiated cooperation in AI governance

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Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
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.