Source: We All Count

Data analysis: some census tracts without evictions listed (those were removed).

Who would benefit: Tulsa community, renters, policymakers, data working group, data analysis company, nonprofit managers/directors.

Nonprofits: measures they can use/action items to remediate the pain caused by eviction, to reduce the number of evictions. Policymakers: understanding the root cause of evictions in Tulsa county and getting actionable items that they can start acting on it and developing policy to reduce eviction cases and serial evictions. Population: being evicted less. Data analysis company: increasing reputation in analyzing complex social issues.

Discover variables that can be used to predict eviction/risks of eviction. Out of the variables used for prediction, see the ones that will provide more positive impact to the community. Determine the root causes for evictions in Tulsa county.

Discussed: preconceptions of what caused evictions, having institutional knowledge of some of the variables (cognitive bias), justice-oriented project

People at risk of being evicted