Climate Change Adaptation: Difference between revisions
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''This page is about the intersection of climate change adaptation and machine learning. For an overview of climate change adaptation as a whole, please see the [https://en.wikipedia.org/wiki/Climate_change_adaptation Wikipedia page] on this topic.''[[File:Societal-adaptation.png|thumb|A summary of the different domains within which machine learning can support climate adaptation. Figure from "Tackling Climate Change with Machine Learning."<ref name=":0">Rolnick, David; Donti, Priya L.; Kaack, Lynn H.; Kochanski, Kelly; Lacoste, Alexandre; Sankaran, Kris; Ross, Andrew Slavin; Milojevic-Dupont, Nikola; Jaques, Natasha; Waldman-Brown, Anna; Luccioni, Alexandra (2019-11-05). [http://arxiv.org/abs/1906.05433 "Tackling Climate Change with Machine Learning"]. ''arXiv:1906.05433 [cs, stat].''</ref>]]
Climate change adaptation refers to changes that can increase the resilience and robustness of earth and social systems. A system is resilient if it can gracefully recover from climate impacts, and it is robust if it has the impacts themselves are minimal.
Three ways that machine learning can support adaptation are highlighted in the paper "Tackling Climate Change with Machine Learning,"<ref name=":0" /><blockquote>
* Sounding alarms: Identifying and prioritizing the areas of highest risk, by using evidence of risk from historical data.
* Providing annotation: Extracting actionable information or labels from unstructured raw data.
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== Machine Learning Application Areas ==
'''Ecology'''
* Camera trap image classification
* Analysis of citizen science data
* Environmental sensor network analysis
'''Infrastructure'''
* Predictive maintenance
* Risk and vulnerability assessment
'''Societal Systems'''
* Monitoring food supplies
* Public health
* Responding to food security
'''Crisis'''
* Annotating disaster maps
* Delivering alerts
== Background Readings ==
'''Primers'''
*'''Chapter 20: "Adaptation Planning and Implementation" in the IPCC Fifth Assessment Report (2014)'''<ref>Abeysinghe A, Denton F, Bhadwal S, Burton I, Gao Q, Leal W, Lemos MF, Masui T, O'brien K, Van Ypersele JP, Warner K, and Wilbanks T, Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, R.K. Pachauri and L.A. Meyer (eds.)]. IPCC, Geneva, Switzerland, 151 pp. 2014</ref>: An overview of current understanding on climate impacts and risks.
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== Online Courses and Course Materials ==
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== Community ==
===
* '''ACM Compass''': An annual conference focused on computing for sustainable societies. Website [https://acmcompass.org/ here].
* '''AI for Good Global Summit''': An annual conference organized by the UN ITU. Website [https://www.itu.int/en/ITU-T/AI/2018/Pages/default.aspx here].
=== Major journals ===
*'''PLOS Responding to Climate Change''': A channel from the open access journal PLOS dedicated to responses to climate change. Journal website [https://channels.plos.org/rtcc here].
*'''Lancet Health and Climate Change''': An initiative by the journal Lancet disseminating research on climate change and public health. Journal website [https://www.thelancet.com/climate-and-health here].
=== Societies and organizations ===
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