Big issues, small data: How open-source data science can help social organizations tackle big problems

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Real-world human problems often rely on humans collecting and organizing information manually. Take for instance COVID, in many places information is lacking or incomplete, there are intricate considerations to analyze data properly for decision making. This is the reality of small organizations that want to tackle difficult issues like gender equality or corruption, especially when they lack in house analysts, information designers or data scientists.

We can leverage open-source data science to empower those organizations with easy to use web-based tools. In this talk, we will go over some use cases by organizations in Guatemala, Bolivia, and Colombia using small data to tackle big issues.