Many countries globally will undergo two major transitions over the next few decades: decarbonization and digitalization. Both transitions require significant technological change and strategic policy guidance. We use methods from statistics and machine learning to inform climate mitigation policy across the energy sector. We also work on climate-related AI policy, as well as governance issues that arise at the intersection of AI and climate action.
Recent publications on AI and climate technology policy
European building stock characteristics in a common and open database for 200+ million individual buildings (2023). Nikola Milojevic-Dupont ; Felix Wagner ; Florian Nachtigall ; Jiawei Hu ; Geza Boi Brüser ; Marius Zumwald ; Filip Biljecki ; Niko Heeren ; Lynn Kaack ; Peter-Paul Pichler ; Felix Creutzig. In: Scientific Data (2023) Article.
Predicting cycling traffic in cities: Is bikesharing data representative of the cycling volume? (2023). Silke Kaiser ; Nadja Klein ; Lynn Kaack. Working Paper.
Aligning artificial intelligence with climate change mitigation (2022). Lynn Kaack ; Priya L. Donti ; Emma Strubell ; George Kamiya ; Felix Creutzig ; David Rolnick. In: Nature Climate Change (2022), 518–527 Article.
Digitalization and the Anthropocene (2022). Felix Creutzig ; Daron Acemoglu ; Xuemei Bai ; Paul N. Edwards ; Marie Josefine Hintz ; Lynn Kaack ; Siir Kilkis ; Stefanie Kunkel ; Amy Luers ; Nikola Milojevic-Dupont ; Dave Rejeski ; Jürgen Renn ; David Rolnick ; Christoph Rosol ; Daniela Russ ; Thomas Turnbull ; Elena Verdolini ; Felix Wagner ; Charlie Wilson ; Aicha Zekar ; Marius Zumwald. In: Annual Review of Environment and Resources, 479–509. Article.
Tackling Climate Change with Machine Learning (2022). Lynn Kaack ; David Rolnick ; Priya L. Donti ; Kelly Kochanski ; Alexandre Lacoste ; Kris Sankaran ; Andrew S. Ross ; Nikola Milojevic-Dupont ; Natasha Jaques ; Anna Waldman-Brown ; Alexandra S. Luccioni ; Tegan Maharaj ; Evan D. Sherwin ; Karthik Mukkavilli ; Konrad P. Kording ; Carla P. Gomes ; Andrew Y. Ng ; Demis Hassabis ; John C. Platt ; Felix Creutzig ; Jennifer Chayes ; Yoshua Bengio. In: ACM Computing Surveys, 1–96 Article
Climate Change and AI. Recommendations for Government Action(2021) Peter Clutton-Brock ; David Rolnick ; Priya L. Donti ; Lynn Kaack Working Paper.
Machine learning enables global solar-panel detection. Lynn Kaack In: Nature (2021), 567–568 Article.
Digitizing a sustainable future (2021). Lynn Kaack ; David Rolnick ; Lucia A. Reisch ; Lucas Joppa ; Peter Howson ; Artur Gil ; Panayiota Alevizou ; Nina Michaelidou ; Ruby Appiah-Campbell ; Tilman Santarius ; Susanne Köhler ; Massimo Pizzol ; Pia-Johanna Schweizer ; Dipti Srinivasan ; Lynn Kaack ; Priya L. Donti In: One Earth (2021), 768–771 Article
Artificial Intelligence and Climate Change: Opportunities, considerations, and policy levers to align AI with climate change goals (2020). Lynn Kaack ; Priya Donti ; Emma Strubell ; David Rolnick Working Paper.
Learning from urban form to predict building heights (2020). Nikola Milojevic-Dupont ; Nicolai Hans ; Lynn Kaack ; Marius Zumwald ; François Andrieux ; Daniel de Barros Soares ; Steffen Lohrey ; Peter-Paul Pichler ; Felix Creutzig In: Plos one, Article.
