Malte Toetzke: Monitoring innovation in climate-tech with AI

Climate and AI
Climate and Innovation
Large language models and LinkedIn data to construct a global network of key public and private organizations collaborating on climate-tech innovation.
Author

Climate Guest Speakers

Published

April 21, 2025

Title

Monitoring innovation in climate-tech with AI

Time

Monday, April 21, 2025 6:00PM - 7:00PM ET (TBC)

Venue

Online via zoom. Please register to participate.

About

To meet global climate targets, rapid innovation in climate technologies is essential. Governments and firms are investing large resources to accelerate this process. Yet, tracking the development and scaling of climate technologies remains a challenge. Here, we show that machine learning can help track climate-tech innovation. We use large language models and LinkedIn data to construct a global network of key public and private organizations collaborating on climate-tech innovation. The resulting network encompasses 134,727 organizations across 189 countries. It includes diverse types of collaborations, such as R&D partnerships and equity investments, and spans 19 climate technologies.

Speaker

Bio

Malte Toetzke is a PostDoc at TU Munich and a Senior Research Fellow at the Max Planck Institute for Innovation and Competition. He focuses on the global transition towards net-​zero emissions, informing public policy with evidence generated via novel data science and machine learning approaches. His main research areas are climate-tech innovation, climate finance, and green industrial policy and his research has been published and presented in leading academic journals (Nature Sustainability, Nature Communications, Nature Climate Change) and machine learning conferences (NeurIPS, ICLR).

Readings

Toetzke, Malte and Probst, Benedict and Feuerriegel, Stefan and Anadon, Laura Diaz and Hoffmann, Volker H., Machine Learning Can Help Track Climate Technology Innovation (April 29, 2024). Available at SSRN: https://ssrn.com/abstract=4810933