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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services

February 1, 2023

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Authors

Amanda Kube

Washington University in St. Louis


Sanmay Das

Washington University in St. Louis


Patrick J. Fowler

Washington University in St. Louis


DOI:

10.1609/aaai.v33i01.3301622


Abstract:

Modern statistical and machine learning methods are increasingly capable of modeling individual or personalized treatment effects. These predictions could be used to allocate different interventions across populations based on individual characteristics. In many domains, like social services, the availability of different possible interventions can be severely resource limited. This paper considers possible improvements to the allocation of such services in the context of homelessness service provision in a major metropolitan area. Using data from the homeless system, we use a counterfactual approach to show potential for substantial benefits in terms of reducing the number of families who experience repeat episodes of homelessness by choosing optimal allocations (based on predicted outcomes) to a fixed number of beds in different types of homelessness service facilities. Such changes in the allocation mechanism would not be without tradeoffs, however; a significant fraction of households are predicted to have a higher probability of re-entry in the optimal allocation than in the original one. We discuss the efficiency, equity and fairness issues that arise and consider potential implications for policy.

Topics: AAAI

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HOW TO CITE:

Amanda Kube||Sanmay Das||Patrick J. Fowler Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services Proceedings of the AAAI Conference on Artificial Intelligence (2019) 622-629.

Amanda Kube||Sanmay Das||Patrick J. Fowler Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services AAAI 2019, 622-629.

Amanda Kube||Sanmay Das||Patrick J. Fowler (2019). Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. Proceedings of the AAAI Conference on Artificial Intelligence, 622-629.

Amanda Kube||Sanmay Das||Patrick J. Fowler. Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.622-629.

Amanda Kube||Sanmay Das||Patrick J. Fowler. 2019. Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. "Proceedings of the AAAI Conference on Artificial Intelligence". 622-629.

Amanda Kube||Sanmay Das||Patrick J. Fowler. (2019) "Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services", Proceedings of the AAAI Conference on Artificial Intelligence, p.622-629

Amanda Kube||Sanmay Das||Patrick J. Fowler, "Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services", AAAI, p.622-629, 2019.

Amanda Kube||Sanmay Das||Patrick J. Fowler. "Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.622-629.

Amanda Kube||Sanmay Das||Patrick J. Fowler. "Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 622-629.

Amanda Kube||Sanmay Das||Patrick J. Fowler. Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. AAAI[Internet]. 2019[cited 2023]; 622-629.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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