Climate Change Adaptation: Difference between revisions

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* Providing annotation: Extracting actionable information or labels from unstructured raw data.
* Providing annotation: Extracting actionable information or labels from unstructured raw data.
* Promoting exchange: Making it easier to share resources and information to pool and reduce risk.
* Promoting exchange: Making it easier to share resources and information to pool and reduce risk.
== Data ==
⚫
Satellite imagery are used for ecological and social observation. Some public sources include,


== Machine Learning Application Areas ==
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* [https://github.com/chrieke/awesome-satellite-imagery-datasets awesome-satellite-imagery-datasets]: A github repository of accessible satellite imagery data.
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*


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== Background Readings ==
⚫
There have also been competitions revolving around climate change adaptation issues,

⚫
* [https://app.wandb.ai/wandb/droughtwatch/benchmark DroughtWatch] revolves around drought monitoring in Kenya.
⚫
* [https://www.drivendata.co/case-studies/promoting-digital-financial-services-in-tanzania/ Promoting Digital Financial Services in Tanzania] describes an attempt to mobile money effort to improve financial inclusion and resilience.
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* The [https://zindi.africa/competitions/ibm-malaria-challenge IBM Malaria Challenge] is a competition around Improved disease surveillance and response, which is motivated by the spread of vector borne disease resulting from climate change.

⚫
This competition describes an attempt to use mobile money effort to improve financial inclusion and resilience.

⚫
Improved disease surveillance and response is an important part of adaptation – here is one competition with this goal in mind.

== Methods and Software ==

⚫
== Recommended Readings ==


* Quinn, J. et al. Computational sustainability and artificial intelligence in the developing world<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> (2014).
* Quinn, J. et al. Computational sustainability and artificial intelligence in the developing world<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> (2014).
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* Agrawal, A., and Perrin, N. Climate adaptation, local institutions and rural livelihoods. (2009)
* 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)
* Shi, L. et al. Roadmap towards justice in urban climate adaptation research. (2016)

== Online Courses and Course Materials ==


== Community ==
== Community ==
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=== Journals and conferences ===
=== Journals and conferences ===


* [https://channels.plos.org/rtcc PLOS Responding to Climate Change]
*[https://channels.plos.org/rtcc PLOS Responding to Climate Change]
* [https://acmcompass.org/ ACM Compass]
*[https://acmcompass.org/ ACM Compass]
* [https://www.itu.int/en/ITU-T/AI/2018/Pages/default.aspx AI for Good Global Summit]
*[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]
*[https://www.thelancet.com/climate-and-health Lancet Health and Climate Change]


=== Societies and organizations ===
=== Societies and organizations ===
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=== Past and upcoming events ===
=== Past and upcoming events ===


== Important considerations ==
== Libraries and Tools ==


== Next steps ==
== Data ==
⚫
Satellite imagery are used for ecological and social observation. Some public sources include,

⚫
* [https://github.com/chrieke/awesome-satellite-imagery-datasets awesome-satellite-imagery-datasets]: A github repository of accessible satellite imagery data.
⚫
*

⚫
There have also been competitions revolving around climate change adaptation issues,

⚫
* [https://app.wandb.ai/wandb/droughtwatch/benchmark DroughtWatch] revolves around drought monitoring in Kenya.
⚫
* [https://www.drivendata.co/case-studies/promoting-digital-financial-services-in-tanzania/ Promoting Digital Financial Services in Tanzania] describes an attempt to mobile money effort to improve financial inclusion and resilience.
⚫
* The [https://zindi.africa/competitions/ibm-malaria-challenge IBM Malaria Challenge] is a competition around Improved disease surveillance and response, which is motivated by the spread of vector borne disease resulting from climate change.

⚫
This competition describes an attempt to use mobile money effort to improve financial inclusion and resilience.

⚫
Improved disease surveillance and response is an important part of adaptation – here is one competition with this goal in mind.


== References ==
== References ==
<references/>


[[category:Application areas]]
[[category:Application areas]]
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