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An Ethical and Technical Evaluation of the Use of Machine Learning Models in Health and Human Services: A Case Study of the Allegheny Family Screening Tool
(2020-06-17)
In this paper, I conduct a case study on the Allegheny Family Screening Tool (AFST), a risk assessment tool used in child protection services in Allegheny County, Pennsylvania. First, I will review the implementation, use, ...
Pushing the Team Together: Using Intergroup Competition to Counteract the Free-Riding Effect
(2019-08-23)
It is a well-documented social dilemma that as the size of a group increases, individual members of the group are incentivized to contribute less effort towards group tasks. This phenomenon has many names, including social ...
WebAssembly as a Multi-Language Platform
(2020-06-18)
Developers choose languages primarily off of the quality of libraries in their ecosystems. However, what if languages and libraries were orthogonal? What if multiple languages could be seamlessly adopted in a single ...
A Classy Affair: Modeling Course Enrollment Prediction
(2020-06-18)
The problem of course enrollment prediction has many implications in the determination of university policy. Namely, logistic concerns around course planning cause many universities, Harvard among them, to consider moving ...
Towards Social and Interpretable Neural Dialog Systems
(2020-06-17)
Open-domain dialog generation is a task that challenges machines to mimic human conversations. Despite the remarkable progress natural language generation has seen over the past several years, open-domain dialog systems ...
Interpretable and Comparable Measurement for Computational Ethology
(2020-06-18)
Computational ethology, the field of automated behavioral analysis, has introduced a number of new techniques in recent years, including supervised, unsupervised, and statistical approaches for measuring behavior. These ...
Evaluating Stock Market Performance Using Aggregated Employee Reviews
(2019-08-23)
Investors are constantly driven by a desire to outperform the market. While investments may perform well in the short-term, there is great difficulty in achieving long-term success. We show that using aggregated employee ...
Escaping the State of Nature: A Hobbesian Approach to Cooperation in Multi-Agent Reinforcement Learning
(2019-08-23)
Cooperation is a phenomenon that has been widely studied across many different disciplines. In the field of computer science, the modularity and robustness of multi-agent systems offer significant practical advantages over ...
Linguistic Features for Readability Assessment
(2020-06-17)
Readability assessment aims to automatically classify text by the level appropriate for learning readers. Traditional approaches to this task utilize a large variety of linguistically motivated features paired with simple ...
Undergraduate Fundamentals of Machine Learning
(2019-08-23)
Drawing on lectures, course materials, existing textbooks, and other resources, we synthesize and consolidate the content necessary to offer a successful first exposure to machine learning for students with an undergraduate-level ...