Keynote 1: Why It’s Time to Quit Your Big Tech Job and Work on Climate (Eugene Kirpichov)

Most climate-concerned engineers are still unaware that they can directly work on climate solutions, because of the outdated idea that climate is about activism and non-profits. This may have been true a few years ago, but could not be further from the truth today. I quit Google AI last year to work on climate, and I will try to convince you, too. I’ll give an overview of the commercial climate tech ecosystem, the role ML plays in it, and how to find a climate job as an ML practitioner.

Keynote 2: Tackling Climate Change with Machine Learning (Nikola Milojevic-Dupont) 

Collaborations between researchers and academics are essential to scale up solutions and enable GHG emissions reduction at scale. I will give an overview of existing academic research at the intersection of climate change and machine learning. I will also present Climate Change AI, an organization of volunteers facilitating impactful applications of machine learning to climate change, highlighting resources that can be helpful for companies aiming to work in this space.