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Videos - 10.05.2023 - 10:00 

HSG Impact Awards 2023: Transparency in climate finance

In the project “Consistent and replicable estimation of bilateral climate finance”, an NLP model (Natural Language Processing Model) called ClimateFinanceBERT was developed to identify and classify climate protection projects.
Source: HSG Newsroom
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AI or machine learning is also the focus of the research project of Dr Anna Stünzi and her two research partners at ETH Zurich, Malte Toetzke and Florian Egli. In the project “Consistent and replicable estimation of bilateral climate finance”, an NLP model (Natural Language Processing Model) called ClimateFinanceBERT was developed to identify and classify climate protection projects. The findings and the publication have triggered a broad response: from the United Nations to the Financial Times. This is because the analysis of 2.7 million projects revealed that the officially reported figures on bilateral climate finance show a discrepancy with the actual figures. The model enables contributors, recipients and NGOs to verify climate finance pledges using uniform criteria. This creates transparency, which allows civil society organisations, for example, to analyse and classify this data independently of the donor side.

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