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Using machine learning to help vulnerable tenants in New York city

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1001/archpedi.159.6.551openalex-snapshot

Subsidized Housing and Children's Nutritional Status

inferredcites →https://doi.org/10.1007/978-1-4614-3085-8openalex-snapshot

Criminal Justice Forecasts of Risk: A Machine Learning Approach

inferredcites →https://doi.org/10.1016/0094-1190(90)90009-copenalex-snapshot

Rent controls and rental housing quality: A note on the effects of New York City's old controls

inferredcites →https://doi.org/10.1016/s0933-3657(01)00077-xopenalex-snapshot

Machine learning for medical diagnosis: history, state of the art and perspective

inferredcites →https://doi.org/10.1068/a42519openalex-snapshot

Displacing New York

inferredcites →https://doi.org/10.1080/10511482.2008.9521639openalex-snapshot

Housing affordability and family well‐being: Results from the housing voucher evaluation

inferredcites →https://doi.org/10.1093/pan/mps028openalex-snapshot

Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts

inferredcites →https://doi.org/10.1111/1467-9906.00122openalex-snapshot

Subtenures and Housing Outcomes for Low Income Renters in New York City

inferredcites →https://doi.org/10.1111/ecin.12364openalex-snapshot

BIG DATA AND BIG CITIES: THE PROMISES AND LIMITATIONS OF IMPROVED MEASURES OF URBAN LIFE

inferredcites →https://doi.org/10.1126/science.aac4420openalex-snapshot

Predicting poverty and wealth from mobile phone metadata

inferredcites →https://doi.org/10.1126/science.aal4321openalex-snapshot

Beyond prediction: Using big data for policy problems

inferredcites →https://doi.org/10.1145/2736277.2741637openalex-snapshot

Enquiring Minds

inferredcites →https://doi.org/10.1145/2783258.2788620openalex-snapshot

A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes

inferredcites →https://doi.org/10.1145/2939672.2939702openalex-snapshot

Designing Policy Recommendations to Reduce Home Abandonment in Mexico

inferredcites →https://doi.org/10.1257/aer.p20161027openalex-snapshot

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

inferredcites →https://doi.org/10.1609/icwsm.v10i1.14762openalex-snapshot

Our House, in the Middle of Our Tweets

inferredcites →https://doi.org/10.1609/icwsm.v9i1.14591openalex-snapshot

Towards Lifestyle Understanding: Predicting Home and Vacation Locations from User's Online Photo Collections

inferredcites →https://doi.org/10.2139/ssrn.2293165openalex-snapshot

Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews

inferredcites →https://doi.org/10.2139/ssrn.3076682openalex-snapshot

Predicting and Understanding Initial Play

What points at this work

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inferred← citeshttps://doi.org/10.1002/cb.2055openalex-snapshot

Understanding high‐involvement product purchase through an innovative machine learning approach: A case of housing type choice

inferred← citeshttps://doi.org/10.1007/s10826-024-02993-xopenalex-snapshot

Exploring Machine Learning to Support Decision-Making for Placement Stabilization and Preservation in Child Welfare

inferred← citeshttps://doi.org/10.1007/s13347-022-00584-6openalex-snapshot

Escaping the Impossibility of Fairness: From Formal to Substantive Algorithmic Fairness

inferred← citeshttps://doi.org/10.1016/j.childyouth.2022.106689openalex-snapshot

Development and validation of a predictive risk model for runaway among youth in child welfare

inferred← citeshttps://doi.org/10.1016/j.ijheh.2021.113862openalex-snapshot

Predicting childhood lead exposure at an aggregated level using machine learning

inferred← citeshttps://doi.org/10.1017/dap.2023.2openalex-snapshot

Explainable machine learning for public policy: Use cases, gaps, and research directions

inferred← citeshttps://doi.org/10.1038/s42256-021-00396-xopenalex-snapshot

Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy

inferred← citeshttps://doi.org/10.1080/01605682.2024.2354364openalex-snapshot

Improving fairness in machine learning-enabled affirmative actions: a case study in outreach activities in healthcare

inferred← citeshttps://doi.org/10.1080/25741292.2024.2348834openalex-snapshot

Artificial intelligence and complex sustainability policy problems: translating promise into practice

inferred← citeshttps://doi.org/10.1080/26408066.2025.2517073openalex-snapshot

Student Perspectives on Artificial Intelligence: Challenges, Opportunities, and Societal Implications

inferred← citeshttps://doi.org/10.1109/access.2023.3267050openalex-snapshot

Using Machine Learning to Establish the Concerns of Persons With HIV/AIDS During the COVID-19 Pandemic From Their Tweets

inferred← citeshttps://doi.org/10.1145/3468507.3468518openalex-snapshot

An Empirical Comparison of Bias Reduction Methods on Real-World Problems in High-Stakes Policy Settings

inferred← citeshttps://doi.org/10.1145/3511808.3557128openalex-snapshot

WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records

inferred← citeshttps://doi.org/10.1145/3630106.3658978openalex-snapshot

Beyond Eviction Prediction: Leveraging Local Spatiotemporal Public Records to Inform Action

inferred← citeshttps://doi.org/10.1146/annurev-lawsocsci-061020-050543openalex-snapshot

Tool for Surveillance or Spotlight on Inequality? Big Data and the Law

inferred← citeshttps://doi.org/10.20533/ijicr.2042.4655.2022.0138openalex-snapshot

Tenant Harassment Prediction: Comparative Analysis of Different Machine Learning Classifiers

inferred← citeshttps://doi.org/10.24963/ijcai.2022/719openalex-snapshot

Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy

inferred← citeshttps://doi.org/10.38124/ijisrt/ijisrt24oct687openalex-snapshot

Role of Machine Learning in Policy Making and Evaluation

inferred← citeshttps://doi.org/10.48550/arxiv.2001.01818openalex-snapshot

Artificial Intelligence for Social Good: A Survey

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