Tackling climate change with machine learning D Rolnick, PL Donti, LH Kaack, K Kochanski, A Lacoste, K Sankaran, ... ACM Computing Surveys (CSUR) 55 (2), 1-96, 2022 | 1078* | 2022 |
Aligning artificial intelligence with climate change mitigation LH Kaack, PL Donti, E Strubell, G Kamiya, F Creutzig, D Rolnick Nature Climate Change 12 (6), 518-527, 2022 | 208 | 2022 |
Decarbonizing intraregional freight systems with a focus on modal shift LH Kaack, P Vaishnav, MG Morgan, IL Azevedo, S Rai Environmental Research Letters 13 (8), 083001, 2018 | 167 | 2018 |
Learning from urban form to predict building heights N Milojevic-Dupont, N Hans, LH Kaack, M Zumwald, F Andrieux, ... PLOS one 15 (12), e0242010, 2020 | 50 | 2020 |
Digitalization and the Anthropocene F Creutzig, D Acemoglu, X Bai, PN Edwards, MJ Hintz, LH Kaack, S Kilkis, ... Annual review of environment and resources 47 (1), 479-509, 2022 | 49 | 2022 |
Empirical prediction intervals improve energy forecasting LH Kaack, J Apt, MG Morgan, P McSharry Proceedings of the National Academy of Sciences 114 (33), 8752-8757, 2017 | 40 | 2017 |
EUBUCCO v0. 1: European building stock characteristics in a common and open database for 200+ million individual buildings N Milojevic-Dupont, F Wagner, F Nachtigall, J Hu, GB Brüser, M Zumwald, ... Scientific Data 10 (1), 147, 2023 | 34 | 2023 |
Truck traffic monitoring with satellite images LH Kaack, GH Chen, MG Morgan Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable …, 2019 | 32 | 2019 |
Automated identification of climate risk disclosures in annual corporate reports D Friederich, LH Kaack, A Luccioni, B Steffen arXiv preprint arXiv:2108.01415, 2021 | 29 | 2021 |
Fifty years to prove Malthus right LH Kaack, GG Katul Proceedings of the National Academy of Sciences 110 (11), 4161-4162, 2013 | 29 | 2013 |
Climate change and AI. recommendations for government action P Clutton-Brock, D Rolnick, PL Donti, L Kaack GPAI, Climate Change AI, Centre for AI & Climate, 2021 | 23* | 2021 |
Artificial intelligence and climate change: Opportunities, considerations, and policy levers to align AI with climate change goals L Kaack, P Donti, E Strubell, D Rolnick | 22 | 2020 |
Digitizing a sustainable future LA Reisch, L Joppa, P Howson, A Gil, P Alevizou, N Michaelidou, ... One Earth 4 (6), 768-771, 2021 | 9 | 2021 |
Challenges and prospects for data-driven climate change mitigation LH Kaack Carnegie Mellon University, 2019 | 4 | 2019 |
Towards understanding policy design through text-as-data approaches: The policy design annotations (POLIANNA) dataset S Sewerin, LH Kaack, J Küttel, F Sigurdsson, O Martikainen, A Esshaki, ... Scientific Data 10 (1), 896, 2023 | 2 | 2023 |
Tutorial: Climate change and machine learning: Opportunities, challenges, and considerations P Donti, D Rolnick, L Kaack | 2 | |
Machine learning enables global solar-panel detection LH Kaack Nature 598 (7882), 567-568, 2021 | 1 | 2021 |
From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation SK Kaiser, N Klein, LH Kaack arXiv preprint arXiv:2406.18454, 2024 | | 2024 |
Data gaps in transport behavior are bottleneck for tracking progress towards healthy sustainable transport in European cities G Chevance, M Nieuwenhuijsen, K Braga, K Clifton, S Hoadley, LH Kaack, ... IOP Publishing, 2024 | | 2024 |
A systematic map of machine learning in urban climate change mitigation MJ Hintz, N Milojevic-Dupont, F Creutzig, L Kaack | | 2024 |