AI & Climate Change

13:30-17:00, January 27 @ 5ABC
09:00-12:30, January 28 @ 5ABC

Track / Overview

The focus of this track is on applying machine learning to help address climate change, encompassing both mitigation (reducing the severity of climate change) and adaptation (preparing for unavoidable consequences).

Specifically, the aim is to:

  • Showcase high-impact applications of machine learning to climate change mitigation and adaptation. 
  • Provide a platform to connect researchers and entrepreneurs who are working in this space. 
  • Inspire a discussion about challenges and opportunities for machine learning to have an impact on climate action. 


Application domains involved in climate change mitigation include energy, transportation, buildings, industry, land use, and CO2 removal, while those for adaptation include climate modeling, extreme event prediction/response, and resilience to societal impacts. We also consider applications of machine learning to policy analysis, tools for individual action, education, and finance.

Track / Schedule

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

With Nikola Milojevic-Dupont & Lynn Kaack

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 Kristina Orehounig & Emmanouil Thrampoulidis

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

Track / Speakers

Lynn Kaack

Postdoctoral Researcher, ETH Zürich

Nikola Milojevic-Dupont

PhD Candidate, MCC Berlin

Nicholas Jones

Data Scientist, World Bank/GFDRR

Felix Creutzig

Head of Group, MCC Berlin & Chair, Technische Universität Berlin

Buffy Price

AI for Good Partnerships Manager, Element AI

Slava Jankin

Director, Hertie School Data Science Lab - Professor, Hertie School

Olivier Corradi

Founder, Tomorrow

Liam F. Beiser-McGrath

Senior Researcher, ETH Zurich

Marius Zumwald

Doctoral Student, ETH Zürich

Eniko Székely

Senior Data Scientist, Swiss Data Science Center, ETH Zürich & EPFL

Max Callaghan

PhD Student, Mercator Research Institute on Global Commons and Climate Change, Berlin, Germany

Soon Hoe Lim

Nordita Fellow, Nordic Institute for Theoretical Physics

Mohamed Kafsi

Team lead, Swisscom

Daniel de Barros Soares

Data Scientist, nam.R

Matthias Meyer

Doctoral Student, ETH Zurich

Chris Heinrich

Co-Founder, Qrithm

Emmanouil Thrampoulidis

Temporary Scientific Employee, Urban Energy Systems Laboratory, Empa

Marta Gonzalez

Associate Professor, University of California Berkeley

Kristina Orehounig

Head of Laboratory, Urban Energy Systems, Empa

David Dao

PhD Student, ETH Zurich

Bibek Paudel

Postdoctoral Research Fellow, Stanford University

Track / Co-organizers

Lynn Kaack

Postdoctoral Researcher, ETH Zürich

Nikola Milojevic-Dupont

PhD Candidate, MCC Berlin

AMLD EPFL 2020 / Tracks & talks

AI & Climate Change

Lynn Kaack, Nikola Milojevic-Dupont, Nicholas Jones, Felix Creutzig, Buffy Price, Slava Jankin, Olivier Corradi, Liam F. Beiser-McGrath, Marius Zumwald, Eniko Székely, Max Callaghan, Soon Hoe Lim, Mohamed Kafsi, Daniel de Barros Soares, Matthias Meyer, Chris Heinrich, Emmanouil Thrampoulidis, Marta Gonzalez, Kristina Orehounig, David Dao, Bibek Paudel

13:30-17:00 January 2709:00-12:30 January 285ABC

AI & Humanitarian Action

Neil Davison, Max Tegmark, Carmela Troncoso, Alessandro Mantelero, Michela D'Onofrio, Francois Fleuret, Amina Chebira, John C. Havens, Marc Brockschmidt, Helen Toner, Dustin Lewis, Subhashis Banerjee, Rebeca Moreno Jimenez, Netta Goussac, Volkan Cevher, Anika Schumann, Nadia Marsan, Massimo Marelli, Anja Kaspersen

09:00-17:00 January 283A

AI & Cities

Konstantin Klemmer, Shin Alexandre Koseki, Eun-Kyeong Kim, Nicholas Jones, Kamil Kaczmarek, Kiran Zahra, Roger Fischer, Doori Oh, Ran Goldblatt, Martí Bosch, Roman Prokofyev, Cristina Kadar, Dmitry Kudinov, Camille Lechot, Ellie Cosgrave, Javier Pérez Trufero, Layik Hama, Hoda Allahbakhshi, Marta Gonzalez, Valery Fischer, Emmanouil Tranos, Jens Kandt, Yussuf Said Yussuf, Nyalleng Moorosi, Nick Lucius

09:00-17:00 January 281BC

AMLD / Global partners