What is ML for Climate Change?

What is ML for Climate Change?

What is ML for Climate Change? A new “subfield” founded in 2019 is making waves, and is more accessible than I first thought

With the devolving world order, seeking positive, engaging work, I wanted to learn a) what actually is machine learning for climate change and b) are there reasonable paths for us to dive in and contribute? To quote the call for action in a paper I cite heavily later:

Groundbreaking technologies have an impact, but so do well-constructed solutions to mundane problems.

Recent work

To start with, I knew there were a bunch of recent workshops on climate change and machine learning (such as ICLR 2020ICML 2019NeurIPs 2019 editions). When looking here, it turns out it is a centralized group of climatechange.ai. This seems good to me, but I was hoping to learn what people are actually working on.

I wrote a little script to scrape the titles and authors of the workshop proceedings and came up with this list of keywords (learned about NLP and stop words along the way).

LEARNING, USING, CLIMATE, DEEP, MACHINE, DATA, NETWORKS, CHANGE, SATELLITE, PREDICTION, IMAGERY, NEURAL, WEATHER, POWER, FORECASTING, ENERGY, TOWARDS, MODELS, CARBON, REINFORCEMENT, BASED, DETECTION, ENVIRONMENTAL, MONITORING, FLOW, VIA, DYNAMICS, FRAMEWORK, SOLAR, RISK, CLOUD, GRID, LEARNING-BASED, FOREST, CONSERVATION, SMART, ANALYSIS, OPTIMAL, MAPPING, URBAN, INTELLIGENCE, RENEWABLE

I expected some buzzword-ness, but this was pretty much a non-entity in terms of teaching me what people are working on. Some keywords that provide insight may be this subset (remove data and learning description words):

NETWORKS, SATELLITE, WEATHER, POWER, ENERGY, FLOW, SOLAR, DYNAMICS, GRID, FOREST, CONSERVATION, MAPPING, URBAN

It reads as a list of applications in the space of urban development, power systems, energy grids, conservation, and dynamic systems. After this cursory analysis, I realized I actually needed to read the 100page white paper initializing the field.

I am putting the data for paper information here. You can register for the 2020 Virtual NeurIPs conference for $100 ($25 student) and attend the next iteration on the workshop for Tackling Climate Change with Machine Learning.

climate-change machine-learning

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