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Climate Change Adaptation: Difference between revisions
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* 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.
Satellite imagery are used for ecological and social observation. Some public sources include,▼
== Machine Learning Application Areas ==
* [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.▼
▲== 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).
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* 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 ==
== Community ==
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=== Journals and conferences ===
*
*
*
*
=== Societies and organizations ===
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=== Past and upcoming events ===
==
==
▲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 ==
[[category:Application areas]]
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