Replication Data for U.S. Science Geopolitical Pivoting Study

Replication data supports an analysis of adaptive strategies in U.S. science amid geopolitical tensions. The dataset was created by researchers Moxin Li, Yifang Ma, Yang Wang, and Dashun Wang for their associated academic paper. It was last updated in April 2026.

Use Cases

• Analyze changes in international co-authorship patterns using author affiliation and publication year fields.
• Model the relationship between funding source identifiers and research topic classifications.
• Identify researcher mobility or collaboration shifts using institutional affiliation data over time.
• Replicate statistical tests on variables measuring scientific output before and after geopolitical events.

Strengths

• Data is directly tied to a peer-reviewed academic publication, ensuring methodological rigor.
• Contains all necessary information to replicate the published analyses, providing full transparency.

Limitations

• The specific number of rows, columns, and data volume is unknown, hindering assessment of statistical power.
• Data scope is limited to the U.S. scientific system and the specific geopolitical context of the original study.

Provenance

Source

Harvard Dataverse, provided by the paper's authors.

Collection Method

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Time Range

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Freshness

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Geography

Primarily United States scientific activity, likely with international collaboration links.