The Data Science Working Group’s purpose is to efficiently assess and tackle Code for San Francisco’s data science needs. Our practicing and aspiring data scientists are available to:
- assess/inspire the possibility of data science components in other projects;
- provide resources to help produce those components;
- provide a learning environment for ourselves and others to learn more practical data science.
In pursuing the above, we humbly hope that CfSF's dedicated project groups come to consider us an integral and synergistic resource for the group at large.
Team Leads: Jude Calvillo and Sanat Moningi
Lead Data Scientist: Matthew Pancia
Wiki (resources): DSWG Wiki >>
The DSWG's initiatives are centered on building data science components for CfSF's project groups. We do, however, also pursue exploratory analyses that could inspire dedicated projects at CfSF, as well as develop standalone visualization tools.
- ParkSafe GIS coordinate realignment (w/street paths) >>
- SF's budget allocations/visualization: Measuring social impact >>
- Interactive visualization of SF's building emissions and energy use >>
- MarbleTree: Geo-aggregating mental health resource data >>
- Exploratory analyses upon 311 call data >>
- Adopt-a-Drain: Predicting flooded drains (per drain, zip, and/or day) >>
*More to come! (markdown in progress)