Machine Learning as a tool for positive impact : case studies from climate change
Video · 57 min · Dec 10, 2020
Alexandra (Sasha) Luccioni, University of Montreal and Mila (Quebec Institute for Learning Algorithms)
10 New Insights in Climate Science 2026/2027
Climate Science, Climatology, Economics and seminar by Johan Rockström, Şiir Kılkış, Christopher Callahan and Damon Matthews, Potsdam Institute for Climate Impact Research; University of Potsdam; Intergovernmental Panel on Climate Change, Working Group III; O’Neill School of Public and Environmental Affairs, Indiana University; Future Earth Canada; Concordia University
Hosted by International Science Council, Future Earth, The Earth League and World Climate Research Programme
Tuesday 13:00–14:00 UTC
Ended
Online
Abstract
The 10 New Insights in Climate Science report synthesizes influential and emerging research into ten findings relevant to decision-makers ahead of international climate negotiations. This launch examines changes in the climate system, the increasing costs and consequences of warming, and the political and economic influences on climate action. Leading scientists will explain the evidence behind the 2026/27 report and its implications for policy and research ahead of COP31. The programme introduces how the synthesis is produced, presents the ten insights, develops three perspectives on translating science into action, and concludes with audience questions.
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