Peeking through the homelessness system with a network science lens-Reference-Cited by-同舟云学术

Peeking through the homelessness system with a network science lens

Published:2021-11-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
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Author:

Chelmis Charalampos¹,Rahman Khandker Sadia¹

Affiliation:

1. University at Albany

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3487351.3488321

Reference16 articles.

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2. Structural Determinants of Homelessness in the United States

3. Explaining Homelessness: a Critical Realist Perspective

4. M. Henry , T. de Sousa , C. Roddey , S. Gayen , T. Joe Bednar , and A. Associates , " The 2020 Annual Homeless Assessment Report (AHAR) to Congress. Part 1: Point-in-time estimates of homelessness," The US Department of Housing and Urban Development , 2021 . M. Henry, T. de Sousa, C. Roddey, S. Gayen, T. Joe Bednar, and A. Associates, "The 2020 Annual Homeless Assessment Report (AHAR) to Congress. Part 1: Point-in-time estimates of homelessness," The US Department of Housing and Urban Development, 2021.

5. Applications of Machine Learning Methods to Predict Readmission and Length-of-Stay for Homeless Families: The Case of Win Shelters in New York City

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1. Modeling and predicting individual transitions within the homelessness system;Social Network Analysis and Mining;2023-04-25

2. “Who is the right homeless client?”: Values in Algorithmic Homelessness Service Provision and Machine Learning Research;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

3. Learning to Predict Transitions within the Homelessness System from Network Trajectories;2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM);2022-11-10