diff --git a/6-Data-Science-In-Wild/20-Real-World-Examples/README.md b/6-Data-Science-In-Wild/20-Real-World-Examples/README.md index bdba25a1..4c6f1d6b 100644 --- a/6-Data-Science-In-Wild/20-Real-World-Examples/README.md +++ b/6-Data-Science-In-Wild/20-Real-World-Examples/README.md @@ -36,6 +36,10 @@ The figure shows other domains and examples for applying data science techniques ## Data Science + Research +| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-Research.png) | +| :---------------------------------------------------------------------------------------------------------------: | +| Data Science & Research - _Sketchnote by [@nitya](https://twitter.com/nitya)_ | + While real-world applications often focus on industry use cases at scale, _research_ applications and projects can be useful from two perspectives: * _innovation opportunities_ - explore rapid prototyping of advanced concepts and testing of user experiences for next-generation applications. @@ -88,6 +92,10 @@ Using this workflow, we can explore the seasonal impacts on the sentiment of the ## Data Science + Sustainability +| ![ Sketchnote by [(@sketchthedocs)](https://sketchthedocs.dev) ](../../sketchnotes/20-DataScience-Sustainability.png) | +| :---------------------------------------------------------------------------------------------------------------: | +| Data Science & Sustainability - _Sketchnote by [@nitya](https://twitter.com/nitya)_ | + The [2030 Agenda For Sustainable Development](https://sdgs.un.org/2030agenda) - adopted by all United Nations members in 2015 - identifies 17 goals including ones that focus on **Protecting the Planet** from degradation and the impact of climate change. The [Microsoft Sustainability](https://www.microsoft.com/en-us/sustainability) initiative supports these goals by exploring ways in which technology solutions can support and build more sustainable futures with a [focus on 4 goals](https://dev.to/azure/a-visual-guide-to-sustainable-software-engineering-53hh) - being carbon negative, water positive, zero waste, and bio-diverse by 2030. Tackling these challenges in a scalable and timely manner requires cloud-scale thinking - and large scale data. The [Planetary Computer](https://planetarycomputer.microsoft.com/) initiative provides 4 components to help data scientists and developers in this effort: diff --git a/sketchnotes/20-DataScience-Research.png b/sketchnotes/20-DataScience-Research.png new file mode 100644 index 00000000..67922cb4 Binary files /dev/null and b/sketchnotes/20-DataScience-Research.png differ diff --git a/sketchnotes/20-DataScience-Sustainability.png b/sketchnotes/20-DataScience-Sustainability.png new file mode 100644 index 00000000..af670e52 Binary files /dev/null and b/sketchnotes/20-DataScience-Sustainability.png differ