Introducing Climate Change AI, the conference track, and overview of posters

With Lynn Kaack & Nikola Milojevic-Dupont

A direct approach to detection and attribution of climate change

With Eniko Székely

Predicting Rare Events in Climate Science

With Soon Hoe Lim

Monitoring Climate Change at the Edge of the Cloud

With Matthias Meyer

Monitoring the built environment for urban resilience planning

With Nicholas Jones

Mapping urban temperature using crowd-sensing data and machine learning

With Marius Zumwald

Break

Data Science for Resilient and Healthier Urban Networks.

With Marta Gonzalez

Tracking the Connections Between Public Health and Climate Change

With Slava Jankin

Machine learning for systematically mapping the climate change literature

With Max Callaghan

Understanding the Politics of Climate Change with AI and Machine Learning

With Liam F. Beiser-McGrath

Closing Remarks Day 1

With Lynn Kaack

Estimation of marginal carbon emissions in electricity networks using electricityMap

With Olivier Corradi

Quantifying the Carbon Footprint of Mobility from Telcom Data

With Mohamed Kafsi

Scaling Natural Climate Solutions with Machine Learning

With David Dao

The role of buildings to mitigate climate change

With Emmanouil Thrampoulidis & Kristina Orehounig

Roof Age Determination for the Automated Site-Selection of Rooftop Solar

With Chris Heinrich

Predicting the Solar Potential of Rooftops using Image Segmentation and Structured Data

With Daniel de Barros Soares

Break

Co-developing applications: Lessons from partnerships

With Buffy Price

Leveraging ML for sustainable urbanization

With Felix Creutzig

Panel Discussion

With Felix Creutzig, Buffy Price, Olivier Corradi, Liam F. Beiser-McGrath, Eniko Székely & Kristina Orehounig