Lynn H. Kaack

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David RolnickMcGill University, Mila Quebec AI InstituteVerified email at cs.mcgill.ca
Priya L. DontiAssistant Professor, MIT EECS & LIDS; Co-founder and Chair, Climate Change AIVerified email at mit.edu
Nikola Milojevic-DupontMCC BerlinVerified email at mcc-berlin.net
Kelly KochanskiPhD, University of Colorado - BoulderVerified email at colorado.edu
Felix CreutzigMercator Research Institute on Global Commons and Climate Change & TUB, BerlinVerified email at mcc-berlin.net
Evan D. SherwinLawrence Berkeley National LaboratoryVerified email at lbl.gov
Anna Waldman-BrownMIT Industrial Performance CenterVerified email at alum.mit.edu
Sasha LuccioniHugging FaceVerified email at huggingface.co
Kris SankaranUniversity of Wisconsin - MadisonVerified email at wisc.edu
Andrew RossPhD student, Harvard UniversityVerified email at g.harvard.edu
Konrad Paul KordingNathan Mossell University Professor (PIK), bioengineering & neuroscience, UPenn, CIFAR LMBVerified email at upenn.edu
Alexandre LacosteStaff Research Scientist, ServiceNow ResearchVerified email at servicenow.com
Tegan MaharajAssistant Professor at MilaVerified email at polymtl.ca
Natasha JaquesUniversity of Washington, Google ResearchVerified email at google.com
Andrew NgStanford UniversityVerified email at cs.stanford.edu
John C. PlattGoogleVerified email at google.com
Jennifer ChayesProfessor, UC BerkeleyVerified email at jenniferchayes.com
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Marius ZumwaldPhD from ETH ZürichVerified email at norm.ch
Granger MorganCarnegie Mellon UniversityVerified email at andrew.cmu.edu

Lynn H. Kaack

Hertie School

Verified email at hertie-school.org - Homepage

Energy Climate Change Public Policy Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	1334*	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	342	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	187	2018
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	76	2022
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	65	2020
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	64	2023
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	43	2017
Truck traffic monitoring with satellite images LH Kaack, GH Chen, MG Morgan Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable …, 2019	35	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	31	2021
Fifty years to prove Malthus right LH Kaack, GG Katul Proceedings of the National Academy of Sciences 110 (11), 4161-4162, 2013	30	2013
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	27	2020
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	26*	2021
Digitizing a sustainable future LA Reisch, L Joppa, P Howson, A Gil, P Alevizou, N Michaelidou, ... One Earth 4 (6), 768-771, 2021	12	2021
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	5	2023
Challenges and prospects for data-driven climate change mitigation LH Kaack Carnegie Mellon University, 2019	5	2019
A systematic map of machine learning in urban climate change mitigation MJ Hintz, N Milojevic-Dupont, F Creutzig, L Kaack	2	2024
Tutorial: Climate change and machine learning: Opportunities, challenges, and considerations P Donti, D Rolnick, L Kaack	2
From Counting Stations to City-Wide Estimates: Data-Driven Bicycle Volume Extrapolation SK Kaiser, N Klein, LH Kaack arXiv preprint arXiv:2406.18454, 2024	1	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, 2024	1	2024
Machine learning enables global solar-panel detection LH Kaack Nature 598 (7882), 567-568, 2021	1	2021

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