Cracking the Code: Enhancing Development Project Classification with NLP on OECD CRS data.

Mar 22, 2024
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Created with assistance of DALL·E 2
Ongoing work Machine learning Development finance
Pierre Beaucoral
Pierre Beaucoral
PhD Candidate

My research interests include development economics, climate adaptation and mitigation, environment, development and climate finance.

Publications

Cracking the Code: Enhancing Development finance understanding with artificial intelligence
Analyzing development projects is crucial for understanding donors aid strategies, recipients priorities, and to assess development …
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Events

Miners meeting
Leveraging Artificial Intelligence for Enhanced Insights into Development Finance: A Focus on Climate Finance estimation
Feb 13, 2025 2:00 PM — 3:00 PM Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes
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Econom'IA conference
Leveraging Natural Langage processing techniques for a better classification of development projects: a case study using OECD CRS dataset.
May 7, 2024 3:00 PM — 3:45 PM BSE
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Econom'IA conference
CERDI PhD seminar
Better classification of international development finance for a better understanding of climate finance: the role of machine learning.
Dec 20, 2023 12:00 PM — 1:00 PM UCA school of economics
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CERDI PhD seminar