When we tackle a new project, we incorporate all relevant facets of community infrastructure.
We begin by gathering and sifting through existing, large-scale public data. At the same time, we gather primary data directly from our project partners and other allies in the community: experts in sectors like local health, housing, transportation, education, public safety, environmental, and others. Next, we merge all of this data into multidimensional, visual models to illuminate actionable opportunities, illustrate the connectedness of community inequities to the issue under the spotlight, and set priorities, so we can best set the project up for success and maximum impact. And all of our findings are made available to organizations that may benefit from the insights.
For an example of our approach in action, check out the ongoing Metrics that Matter Project first launched in 2019 to better demonstrate the interconnectedness of challenges and inequities between various public sectors.
Number of Metrics in the Community Data Platform
Commits to github
Data Use Agreements Executed
Nonprofit Network Mapping
Predictive Analytics World’s Machine Learning Week • May 24th, 2020
CFC’s Director of Data Science, Nick Pylypiw, will be presenting at the Predictive Analytics World’s Machine Learning Week.
At the below link you can find a list of downloadable CSV or Excel files containing helpful data sets.
Our data insights are only as strong as our partnerships with the community. We’re grateful to have a growing list of institutional and community partners who believe that big data can change the world and build a better tomorrow.
UNCW Center for Social Impact
The Center’s faculty conduct interdisciplinary research with community partners; consult with nonprofit, public, and for-profit sector organizations to improve service delivery, cross-sector collaboration, and philanthropic engagement; and educate students through applied learning experiences in the collective pursuit of healthier and more equitable communities.