San Francisco, California
ViviendasLeón is partnering with DataGood to use data science to help Nicaraguan farmers sustainably improve the productivity of their farms. DataGood’s goal is to produce a predictor that helps ViviendasLeon identify the most productive produce for a family given the local conditions. The DataGood team has created dashboards with visualizations describing how the conditions of the crops evolve over time. The team also produced maps that analyze the correlation between produce conditions and weather data, including the level of precipitation, temperature, dew level, and more. Their next step will be to analyze information about the surrounding area for a more thorough analysis of the different factors affecting crop conditions.
The DataGood team consists of seven undergraduates of multiple backgrounds from the University of California, Berkeley. This team is a small subset of a bigger data science student group of the same name that is focused on social good. In the past, the student group has completed projects on racial disparities in solar panel installations, mapping for environmental justice, and more. For more information on the group, or for help on dedicated social good projects, please contact email@example.com.