Case Study
Tipping Point Community Fights Poverty with Data Science Insights leading to policy changes and expanded thinking
Tipping Point Community Fights Poverty with Data Science Insights leading to policy changes and expanded thinking
Tipping Point Community Fights Poverty with Data Science Insights leading to policy changes and expanded thinking CHALLENGE “The San Francisco Mayor’s Financial Justice Project was focused on rightsizing parking fines and fees to one’s ability to pay,” says Ashley Brown, manager of impact and learning. “We wanted to see how we could contribute, and requested citation and tow data from the San Francisco Municipal Transportation Agency (SFMTA). We received about 7 million rows of data with many fields on three CDs. It was going to take a lot to clean, and we needed a more powerful tool than what we had.” “Our Board of Directors knew that data science could provide insights and had been pushing us to look into ways to better understand poverty and how we could alleviate it,” says Jam