AI & Climate Change

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

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

Track / Speakers

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

Kristina Orehounig

Head of Laboratory, Urban Energy Systems, Empa

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

Track / Co-organizers

Lynn Kaack

Postdoctoral Researcher, ETH Zürich

Nikola Milojevic-Dupont

PhD Candidate, MCC Berlin

AMLD EPFL 2020 / Tracks & talks

AI & Climate Change

Felix Creutzig, Buffy Price, Slava Jankin, Olivier Corradi, Liam F. Beiser-McGrath, Marius Zumwald, Eniko Székely, Kristina Orehounig, Max Callaghan, Soon Hoe Lim, Mohamed Kafsi, Daniel de Barros Soares, Matthias Meyer, Chris Heinrich, Emmanouil Thrampoulidis

13:30-17:00 January 2709:00-12:30 January 28

AI & Humanitarian Action

Sofia Olhede

09:00-17:00 January 28

AI & Cities

Doori Oh, Kamil Kaczmarek, Kiran Zahra, Roger Fischer, Ran Goldblatt, Martí Bosch, Roman Prokofyev, Dmitry Kudinov

09:00-17:00 January 28

AMLD / Global partners