Nikola Milojevic-Dupont

My research focuses on fostering the field of machine learning for urban sustainability, scaling data availability for sustainable urban planning, developing applied ML methods for analyzing urban form and deploying decision tools to inform climate change mitigation in cities.

Professional Experience (selected)

• Since 2023: Researcher, Technische Universität Berlin
• 2018 – 2023: PhD researcher, Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany
• 2020 – 2023 Content Committee Chair, Board member, Climate Change AI, Global/Virtual
• 2017 – 2017 Research assistant, Potsdam Institute for Climate Impact Research, Potsdam, Germany

Academic education

• 2023 (expected): PhD in Urban Planning, Technische Universität Berlin
• 2017: MSc Environmental and Climate Economics, AgroParisTech, France
• 2016: MSc International Economics, Sorbonne University, France
• 2015: BSc Economics, France

2018 – 2021: Leveraging machine learning for low – carbon urban planning. Funded by MCC Berlin

• Milojevic-Dupont, Nikola, Wagner, Felix, Hu, Jiawei, Zumwald, Marius, Nachtigall, Florian, Biljecki, Filip, Heeren, Niko, Kaack, Lynn, Pichler, Peter-Paul, & Creutzig, Felix. (2023): EUBUCCO v0.1: European building stock characteristics in a common and open database for200+ million individual buildings. Scientific Data.
• Milojevic-Dupont,N., Hans, N., Kaack, L. H., Zumwald, M, Andrieux, F., de Barros Soares, D., Lohrey, S., Pichler, P.P. & Creutzig, F. (2020): Learning from urban form to predict building heights. PLoS ONE 15(12): e02420102.
• Milojevic-Dupont, N., & Creutzig, F. (2020): Machine learning for geographically differentiated climate change mitigation in urban areas. Sustainable Cities and Society, 102526.3.
• Creutzig, F., Javaid, A., Soomauroo, Z., Lohrey, S., Milojevic-Dupont, N., Ramakrishnan, A., ... & Weddige, U. (2020): Fair street space allocation: ethical principles and empirical insights. Transport Reviews, 1-234.
• Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross AS, Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A. Luccioni, A., Maharaj, T., Sherwin, E. D., Mukkavilli, S. K., Kording, K. P., Gomes, C., Ng, A. Y., Hassabis, D., Platt, J. C., Creutzig, F., Chayes. F. & Bengio, Y. (2019): Tackling climate change with machine learning. arXiv preprint arXiv:1906.05433.