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BRI DATALAB
BRI Datalab is an AI-assisted research platform for the study of Chinese overseas development finance and infrastructure diplomacy. Integrates project-level datasets, policy documents, loan information, and academic sources to support research on the Belt and Road Initiative and Global China. Developed using digital research methods and designed for both academic and public-facing use.
1. Why BRI DataLab?
Researchers studying Chinese overseas development finance often work across multiple sources simultaneously:
Project-level datasets
Government policy documents
Institutional reports
Academic literature
These materials are rarely available through a single research environment. BRI DataLab was developed to integrate these sources into one searchable platform, enabling researchers to move between data, documents, and AI-assisted analysis.
2. Research Infrastructure
DATA
4,861 harmonized infrastructure projects
DOCUMENTS
42 curated policy and research documents
COUNTRIES
183 countries covered
AI LAYER
Retrieval-Augmented Generation (RAG)
3. How It Works
Figure: End-to-end architecture of BRI DataLab
4. Methodological Contributions
Data Harmonization
33,580 tranche-level records transformed into 4,861 project-level infrastructure records.
Curated Knowledge Base
42 policy documents, institutional reports, and academic sources indexed for retrieval.
Transparent AI
Responses are grounded in retrieved evidence and constrained through source-based reasoning rules.
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