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Massachusetts Institute of Technology

Data and decontrol : a civic-tech approach for identification of predatory landlords in the New York City rent-regulated housing market

Abstract

dc:description.abstract

With New York City in the throes of a severe affordable housing crisis, the City government and housing advocates have worked tirelessly towards the identification of landlords whose profit model is based on fraudulent deregulation of the rent-regulated housing stock. The problem is that these bad actors are not so easy to identify. With the refusal of the controlling agency, the New York State Department of Housing and Community Renewal (DHCR), to release data on units lost from the market, along the widespread use of limited liability companies (LLCs) to obscure ownership, it's difficult to both track changes in the market and to associate those changes with problematic actors.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Urban Studies and Planning
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Patrick, Meagan Cherita.
Advisor dc:contributor.advisor
  • Joseph Ferreira, Jr.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/121750
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/121750

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Patrick, Meagan Cherita.. Data and decontrol : a civic-tech approach for identification of predatory landlords in the New York City rent-regulated housing market. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/121750