UNFCCC COP 16-28 High-Level Speech Data for Value Network Analysis

13 Conferences of the Parties (COPs) to the UNFCCC are analyzed using keyword-assisted topic models on High-level Segment (HLS) speeches. The data, authored by Zack Almquist and hosted on Harvard Dataverse, was last updated on 2026-04-16. It is used to extract and analyze the value networks of negotiating countries over time.

Use Cases

• Train topic models to identify climate negotiation values based on speech text.
• Analyze the evolution of central values like 'Fairness' and 'Environment' over 13 COPs.
• Map country interaction networks based on shared values extracted from speeches.
• Study shifts in negotiation discourse from differentiation to collective urgency.

Strengths

• Covers 13 consecutive UNFCCC COPs (16-28), providing a longitudinal view.
• Methodology is explicitly described: keyword-assisted topic models and network analysis.
• Focuses on High-level Segment speeches, a key source of official negotiation positions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file formats are unknown, which may limit suitability assessment.
• Data may reflect bias inherent to the formal, diplomatic language of UNFCCC speeches.

Provenance

Source

Harvard Dataverse, authored by Zack Almquist.

Collection Method

Keyword-assisted topic modeling applied to UNFCCC COP High-level Segment speeches.

Time Range

Covers COPs 16 through 28.

Freshness

Last updated 2026-04-16 21:31:27; freshness should be verified.

Geography

Global, based on United Nations climate negotiations.