Climate Change Adaptation: Difference between revisions
Content added Content deleted
Krisrs1128 (talk | contribs) No edit summary |
Krisrs1128 (talk | contribs) No edit summary |
||
Line 1: | Line 1: | ||
''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."]] |
''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. |
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,"<blockquote> |
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. |
* 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. |
* Providing annotation: Extracting actionable information or labels from unstructured raw data. |
||
Line 9: | Line 9: | ||
== Machine Learning Application Areas == |
== 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 == |
== 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. |
|||
* |
*'''Computational sustainability and artificial intelligence in the developing world (2014)'''<ref>{{Cite journal|last=Quinn|first=John|last2=Frias-Martinez|first2=Vanessa|last3=Subramanian|first3=Lakshminarayan|date=2014-09-29|title=Computational Sustainability and Artificial Intelligence in the Developing World|url=http://dx.doi.org/10.1609/aimag.v35i3.2529|journal=AI Magazine|volume=35|issue=3|pages=36|doi=10.1609/aimag.v35i3.2529|issn=0738-4602}}</ref>: A review describing the use of machine learning in problems related to health, food security, and mobility in the developing world. |
||
* |
*'''Computational sustainability: Computing for a better world and a sustainable future (2019)'''<ref>{{Citation|last=Schneider|first=Sabrina|title=The Impacts of Digital Technologies on Innovating for Sustainability|date=2019|url=http://dx.doi.org/10.1007/978-3-319-97385-2_22|work=Palgrave Studies in Sustainable Business In Association with Future Earth|pages=415–433|place=Cham|publisher=Springer International Publishing|isbn=978-3-319-97384-5|access-date=2020-08-28}}</ref>: An overview of the goals and techniques used in the field of computational sustainability. |
||
* Agrawal, A., and Perrin, N. Climate adaptation, local institutions and rural livelihoods. (2009) |
|||
* Shi, L. et al. Roadmap towards justice in urban climate adaptation research. (2016) |
|||
== Online Courses and Course Materials == |
== Online Courses and Course Materials == |
||
Line 21: | Line 42: | ||
== Community == |
== Community == |
||
=== |
=== '''Major conferences''' === |
||
* '''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]. |
|||
*[https://channels.plos.org/rtcc PLOS Responding to Climate Change] |
|||
*'''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]. |
|||
*[https://acmcompass.org/ ACM Compass] |
|||
*[https://www.itu.int/en/ITU-T/AI/2018/Pages/default.aspx AI for Good Global Summit] |
|||
*[https://www.thelancet.com/climate-and-health Lancet Health and Climate Change] |
|||
=== Societies and organizations === |
=== Societies and organizations === |