Climate Finance

From Climate Change AI Wiki
Revision as of 17:30, 25 August 2020 by SashaL (talk | contribs) (Added resources and commentary)

There are two main approaches to climate finance: climate investment, which involves investing money in companies with low carbon footprint or those that actively address the climate crisis, both for reasons of societal benefit and because these are widely expected to be good investments in the long term, and climate analytics, which aims to quantify the expected financial impacts of climate change, thereby incentivizing investors and companies to act. ML can help on both of these fronts, on the one hand by in designing portfolios and in timing investments for positive reinforcement of climate-positive investment, and on the other, by helping forecast prices in carbon markets, identifying climate risks and investment opportunities, and quantifying the monetary impact of climate change on supply and demand by using data-based approaches.

Data

Datasets are fairly limited in terms of data quantity (i.e. no single dataset would be enough to implement an ML system), but merging different sources of data together can yield interesting insights. Some promising data sources include:

Methods and Software

  • ClimateScope: a country-by-country assessment that provides an interactive report and index indicating suitability for climate-related investment.
  • Renewable Energy (RE) Data Explorer: a platform created to inform vital renewable energy investment and deployment decisions.

Recommended Readings

Readings

Online courses

Community

Journals and conferences

Societies and organizations

Past and upcoming events

Important considerations

Next steps

References