Scholar
Lynn H. Kaack
Google Scholar ID: jsy-VxMAAAAJ
Hertie School
Citations & Impact
Citations
2,999
H-index
13
i10-index
14
Publications
20
Co-authors
54
list available
Publications
Resume (English only)
Academic Achievements
- Publications include 'Spatio-Temporal Graph Neural Network for Urban Spaces: Interpolating Citywide Traffic Volume' (2025), 'From counting stations to city-wide estimates: data-driven bicycle volume extrapolation' (2025), 'Towards understanding policy design through text-as-data approaches: The POLIANNA dataset' (Published 13/12/2023), 'Aligning artificial intelligence with climate change mitigation' (Published 09/06/2022).
Research Experience
- Core faculty member at the Hertie School Data Science Lab, involved in running the MDS program; also a core faculty in the Hertie School Centre for Sustainability; co-founder and chair of Climate Change AI, a global initiative at the intersection of climate change and machine learning.
Background
- Research Interests: Data science approaches to climate and energy policy, the policy of machine learning and climate change. Areas of expertise: Predictive statistics, machine learning, and policy analysis. Overview: Leads the AI and Climate Technology Policy Group, focusing on urban areas, transportation, buildings, electricity markets, and the greenhouse gas emissions impact of artificial intelligence.
