Our study focuses on the information needed for overviews by social workers in child protection, and how information is presented in client information systems (CIS). Data consists of semi-structured interviews and social workers’ observations while they used CIS in their daily work. The analysis was structured by the concept of temporal trajectory. We identified three major interconnected info...

Quantitative Research, Evaluation, and Measurement, Department of Educational Studies, The Ohio State University, Columbus, OH, United States, Children’s Learning Institute, University of Texas Health Science Center at Houston, Houston, TX, United States, Department of Educational Psychology, Texas A&M University, College Station, TX, United States, Department of Psychology, University of Alaba...

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In this note we describe an application of Wasserstein distance to Reinforcement Learning. The Wasserstein distance in question is between the distribution of mappings of trajectories of a policy into some metric space, and some other fixed distribution (which may, for example, come from another policy). Different policies induce different distributions, so given an underlying metric, the Wasse...

Humans navigate crowded spaces such as a university campus by following common sense rules based on social etiquette. In this paper, we argue that in order to enable the design of new target tracking or trajectory forecasting methods that can take full advantage of these rules, we need to have access to better data in the first place. To that end, we contribute a new large-scale dataset that co...

I study a model of dynamic policy making in which citizens do not have complete knowledge of how policies are mapped into outcomes. They learn about the mapping through repeated elections as policies are implemented and outcomes observed. I characterize for this environment the policy trajectory with impatient voters. I find that through experimentation good policies are frequently found. Howev...