Harvard Dataverse hosts replication data for a study on adaptive strategies in U.S. science amid geopolitical tensions. The dataset was created by Moxin Li, Yifang Ma, Yang Wang, and Dashun Wang to support their published paper. It was last updated in April 2026.
Use Cases
- Analyze changes in international co-authorship patterns using author affiliation and country columns.
- Model the relationship between funding source features and research topic shifts.
- Classify research publications by strategic adaptation type using labeled categories from the analysis.
- Correlate temporal features with collaboration network metrics to identify pivotal events.
Strengths
- Data is explicitly structured for full replication of the published paper's analyses.
- Dataset provenance is clear, authored by the study's researchers and hosted on Harvard Dataverse.
Limitations
- Specific data volume, row count, and column details are unknown.
- The dataset's scope is confined to the specific study, limiting generalizability without additional context.
Provenance
- Source
- Harvard Dataverse, authored by the paper's researchers.
- Collection Method
- Compiled for replicating analyses in the associated published paper.
- Time Range
- null
- Freshness
- null
- Geography
- Primarily United States science, with likely international collaboration context.