Amanda R. Kube

Computing and Data Sciences Doctoral Candidate

Washington University in St. Louis

Research Interests

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My research interests involve the intersection of computer science and the social sciences. I am especially interested in fair applications of AI to social-scientific questions.

My current work combines machine learning and human decision-making to inform fair and efficient service allocations for homeless families.

Education

I am currently a fourth year PhD student being advised by Dr. Sanmay Das  at George Mason University and Dr. Patrick Fowler in the Division of Computational and Data Sciences at Washington University in St. Louis.


I received my M.S. in Data Analytics and Statistics from the Department of Electrical Engineering at Washington University in St. Louis. I wrote my thesis, Allocating Interventions Based on Counterfactual Predictions: A Case Study on Homelessness Services, under the advisory of Dr. Sanmay Das in the Department of Computer Science


I graduated from Washington University in St. Louis with a double major in Psychology and Mathematics (Concentration in Probability and Statistics) and a Minor in Children's Studies. I started my research career under the advisory of Dr. Joshua J. Jackson in the Personality Measurement and Development Lab which sparked my love of research and my interest in improving understanding of social constructs and problems.


Publications

Research Articles

Kube, A. R., Das, S., Fowler, P. J. (2019) Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services.  Proceedings of the AAAI Conference on Artificial Intelligence.  (pdf)

Hill, P. L., Cheung, F., Kube, A., & Burrow, A. L. (2019). Life engagement is associated with higher GDP among societies. Journal of Research in Personality, 78, 210-214. (pdf)

Cheung, F., Kube, A., Tay, L., Diener, E., Jackson, J. J., Lucas, R. E., Ni, M. Y., Leung, G. M. (2020). The Impact of the Syrian Conflict on Population Well-being. Nature Communications, 11(1), 1-10.

Kube, A., Das, S., Fowler, P. J. (Working Paper). Fair and Efficient Allocation of Scarce Resources Based on Predicted Outcomes: Implications for Homeless Service Delivery.

Cheung, F., Kube, A., Hill, P. L., Jackson, J. J. (Working Paper). National subjective well-being predicts future terrorism: Evidence from 127 countries. 

Oral Presentations

Kube, A.R., Das, S., Fowler, P. J. (June 2018). Allocating Interventions Based on Counterfactual Predictions: A Case Study on Homelessness Services. Oral presentation as part of the Mechanism Design for Social Good Workshop at the 19th ACM Conference on Economics and Computation, Ithaca, NY.

Kube, A., Das, S., Fowler, P. J. (January 2019). Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. Oral presentation as part of the 32nd AAAI Conference Artificial Intelligence, Honolulu, HI.

Posters

Kube, A.R., Das, S., Fowler, P. J. (June 2018). Allocating Interventions Based on Counterfactual Predictions: A Case Study on Homelessness Services. Poster presentation as part of the Mechanism Design for Social Good Workshop at the 19th ACM Conference on Economics and Computation, Ithaca, NY.

Kube, A., Das, S., Fowler, P. J. (January 2019). Allocating Interventions Based on Predicted Outcomes: A Case Study on Homelessness Services. Poster presentation as part of the 32nd AAAI Conference Artificial Intelligence, Honolulu, HI.

Kube, A., Fowler, P. J., Das, S. (October 2019). Precision Public Health: Homelessness Prevention Systems. Poster presentation as part of the 12th Washington University in St. Louis Institute for Public Health Conference, St. Louis, MO.

My CV

Curriculum Vitae

Last Updated 09/26/21