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Malte Toetzke
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Monitoring global development aid with machine learning
M Toetzke, N Banholzer, S Feuerriegel
Nature Sustainability 5 (6), 533-541, 2022
172022
A typology of digital building technologies: Implications for policy and industry
J Meuer, M Toetzke, C Nakhle, S Windeck
IOP conference series: earth and environmental science 323 (1), 012053, 2019
142019
Consistent and replicable estimation of bilateral climate finance
M Toetzke, A Stünzi, F Egli
Nature Climate Change 12 (10), 897-900, 2022
122022
Systematic review of the actual emissions reductions of carbon offset projects across all major sectors
B Probst, M Toetzke, A Kontoleon, LD Anadon, VH Hoffmann
ETH Zurich Library 15, 2023
82023
Leveraging large language models to monitor climate technology innovation
M Toetzke, B Probst, S Feuerriegel
Environmental Research Letters 18 (9), 091004, 2023
22023
Mining Points-of-Interest Data to Predict Urban Inequality: Evidence from Germany and France
M Ganter, M Toetzke, S Feuerriegel
Proceedings of the International AAAI Conference on Web and Social Media 16 …, 2022
12022
Can Deep Learning help to forecast deforestation in the Amazonian Rainforest?
T Engelmann, M Toetzke
NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning, 2023
2023
Leveraging large language models to monitor climate technology innovation
B Probst, S Feuerriegel, M Toetzke
IOP Publishing, 2023
2023
Mit KI den nachhaltigen Wandel gestalten: zur strategischen Verknüpfung von Künstlicher Intelligenz und Nachhaltigkeitszielen
RA Quinn, C Apachite, S Boll, M Decker, B Deml, M Dowling, R Felix, ...
Lernende Systeme-die Plattform für Künstliche Intelligenz c/o acatech, 2022
2022
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