Emily Kurtz, representing RiseBoro Community Partnership, speaks in support of the City of Yes for Housing Opportunity zoning text amendment. She emphasizes the critical need for affordable housing in New York City and how this amendment could help address the housing crisis by encouraging mixed-income communities and updating outdated zoning rules.

• Kurtz highlights the 1.4% vacancy rate across the city and long waiting lists for affordable housing units.
• She discusses the potential impact of the density bonus for affordable housing included in the text amendment.
• RiseBoro Community Partnership urges approval of the amendment to create a more inclusive and fair city.

• Support for the City of Yes for Housing Opportunity zoning text amendment
• The pressing need for affordable housing across all neighborhoods in New York City
• The current 1.4% vacancy rate across the city, indicating demand far exceeds supply
• The density bonus for affordable housing as a critical tool for addressing the housing crisis
• The amendment encourages the creation of mixed-income communities, fostering diversity and economic integration
• The amendment allows updating outdated zoning rules to build more housing of every type and affordable housing in every neighborhood
• The importance of creating a fairer, more inclusive city with affordable housing options for all New Yorkers

[EXPERIMENTAL]

Which elements of City of Yes for Housing Opportunity were discussed in this testimony?

• UAP

The following are AI-extracted quotes and reasoning about which elements of the proposal were discussed in this testimony.

This is a quick, close approximation. Occasionally, the connection between a testimony's transcript and specific elements of City Planning's proposal is tenuous.

Read about this AI-generated analysis here.

About this analysis:

This analysis is done by AI that reasons whether or not a quote from the testimony discusses a particular element of the proposal.

All the prompts and data are open and available on Github.

You can search for testimonies that mentioned a specific element in the table on the main meeting page.

When an element is explicitly stated in the testimony (e.g. "Universal Affordability Preference" or "UAP"), the analysis is accurate.

But the connection between a quote from the testimony and an element of the proposal is sometimes implicit.

In these cases, the AI might eagerly label a testimony as discussing a proposal when the connection is tenuous, or it might omit it entirely.