A recently published UNEP x UNCTAD pilot project demonstrates how properly trained machine learning models can support evidence-based, impact-oriented allocation of public finance flows. Predictin

Ryan Maia

Created a Post in Sustainable Finance

3 years ago

A recently published UNEP x UNCTAD pilot project demonstrates how properly trained machine learning models can support evidence-based, impact-oriented allocation of public finance flows.

Predicting the environmental effects of government money could enable countries to better align their budgets with specific sustainability and development goals.

Curious how machine learning can support your sustainable finance work? Check out our pilot project via the link below, and send me direct message (or email: ryan.maia@graduateinstitute.ch) if you're interested in learning more or getting involved.

PS: Our article features plenty of interactive charts - check them out ?

https://greenfiscalpolicy.org/blog/using-machine-learning-to-make-government-spending-greener/

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A recently published UNEP x UNCTAD pilot project demonstrates how properly trained machine learning models can support evidence-based, impact-oriented allocation of public finance flows. Predictin

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A recently published UNEP x UNCTAD pilot project demonstrates how properly trained machine learning models can support evidence-based, impact-oriented allocation of public finance flows. Predictin

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A recently published UNEP x UNCTAD pilot project demonstrates how properly trained machine learning models can support evidence-based, impact-oriented allocation of public finance flows.

Predictin

A recently published UNEP x UNCTAD pilot project demonstrates how properly trained machine learning models can support evidence-based, impact-oriented allocation of public finance flows.

Predictin