Sunday, April 22, 2018 from 2:15 p.m. - 2:45 p.m. CDT
Cost: Included in Registration
Activity Type: Posters
Activity ID: NPC187109
WHAT YOU’LL LEARN
- Data science can be used for planning for equity
- Community participation can be used to increase the accuracy of program impacts and costs
- Incorporate data science in program planning
MORE SESSION DETAILS
We estimate the cost and impact of a proposed anti-displacement program in Atlanta's Westside that intends to fully subsidize property-tax increases for eligible residents of neighborhoods where t two major urban renewal projects are under way. We find that our household-level data and machine-learning techniques result in more accurate estimates of eligible homeowners and program costs, both of which were found to be considerably larger than the original proposal. Community residents also can correct and update the information, which will increase the accuracy of the program estimates; validate the modeling; and provide greater transparency, accountability, and impact.
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University of Tennessee