Ever wondered how The World Bank’s open source software contributions have shaped global economics, financial markets, and generally been used for all manner of really quite fascinating insights into data science?
How about the ways in which The World Bank’s usage of Ai and LLMs have helped scientists understand populations at risk, how to analyze massive datasets to respond to climate catastrophes, and how to accurately predict global infrastructure changes before they occur?
Well… it’s our lucky day!
The World Bank regularly posts Jupyter notebooks, LLM tooling, data-sets, data analytics scripts, global dashboards related to climate sciences, infrastructure, poverty assessment, economic awareness modeling, and so much more… right over here on their GitHub page: github.com/orgs/worl…
One item recently in the FOSS news was this gem, the Metadata Editor.
- Project: worldbank.github.io/metadata-…
- Source: github.com/worldbank…
- Schemas: worldbank.github.io/metadata-…
Oh but there’s also some fun with NASA!
BlackMarblePy is a Python package that provides a simple way to use nighttime lights data from NASA’s Black Marble project. Black Marble is a NASA Earth Science Data Systems (ESDS) project that provides a product suite of daily, monthly and yearly global nighttime lights.
This is a heartening example of the beauty and benefits which Open Source Software offer to our world.
#science #finance #worldbank #foss #oss #llms #ai #programming #engineering #nasa
