Text Analysis and Knowledge Structuring

The Online Volunteer will be part of UNDP’s Climate and Disaster Resilience Team at the Istanbul Regional Hub, supporting research and analytical work on disaster risk reduction, climate resilience, and risk-informed development across Europe and Central Asia. The findings will contribute to ongoing analytical work on country risk profiles.

The Online Volunteer will support the analysis and structuring of climate and disaster resilience commitments contained in national policy and planning documents. The assignment will focus on improving the consistency, comparability, and interpretation of commitments and targets identified across countries, sectors, and languages.

Methodology Review: Review existing approaches used by international organizations, researchers, and policy initiatives to classify and analyze policy commitments, targets, adaptation measures, and resilience actions.

Knowledge Structuring: Support the development of thematic and sectoral classification approaches for organizing climate adaptation, disaster resilience, and risk reduction commitments into comparable categories.

Semantic Analysis: Review examples of commitments and targets and assess approaches for grouping similar actions despite differences in terminology, wording, level of detail, or policy context.

Comparative Assessment: Identify common patterns, overlaps, and variations in commitments across countries and regions, and assess their implications for cross-country comparison.

Localization and Interpretation: Assess challenges related to multilingual policy documents, country-specific terminology, translation differences, and policy context that may affect the interpretation, classification, and comparability of commitments across countries.

Validation and Quality Review: Conduct sanity checks on outputs, review classification results, and provide feedback on consistency, interpretability, and practical applicability.

Research Outputs: Prepare concise summaries, methodological notes, and recommendations highlighting findings, challenges, and opportunities for improving consistency and comparability.