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“Moving in Data”: The Open Data Gaze as a form of Municipal Statecraft in the Entrepreneurial City
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Globally speaking, data-driven urbanism is on the rise. As data becomes more readily available and important in contemporary economies, municipal governments are adopting new ways of managing and planning cities. By transforming themselves via urban data, cities can position themselves to be...
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A framework to automate physical demand analysis based on artificial intelligence and motion capture for workplace safety improvement
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Workers' safety and productivity and its affecting factors, such as ergonomics, are essential aspects of construction projects. Applying ergonomics and realizing the connections among workers and their assigned tasks have indicated a decrease in workers' injuries and discomforts, a beneficial...
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Beyond Static Classification: Long-term Fairness for Minority Groups via Performative Prediction and Distributionally Robust Optimization
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In recent years machine learning (ML) models have begun to be deployed at enormous scales, but too often without adequate concern for whether or not an ML model will make fair decisions. Fairness in ML is a burgeoning research area, but work to define formal fairness criteria has some serious...
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Fall 2016
Survival data is mostly analyzed using Cox proportional hazards model to identify factors associated with survival time of patients. However recently random survival forest (RSF), a non-parametric method for ensemble estimation constructed by bagging of classification trees for survival data, is...
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Spring 2023
There has been a renewed interest in commonsense as a stepping stone toward achieving human-level intelligence. By digesting enormous amounts of data in different forms, such as visual, lingual, and sensory, humans are able to create a world model for themselves. It is hypothesized that this...
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Dollars or Cents: Impacts of Rescaling Data on a Mixed Logit Model with Normally and Lognormally Distributed Coefficients
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It is a common practice to rescale data to assist the model estimation process. This paper describes a case where care is called upon when interpreting the results after rescaling. The case is shown as associated with the lognormally distributed coefficient in a mixed logit model. Implications of...
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2019-01-01
Vadim Bulitko, Sean Caulfield, Astrid Ensslin, Daniel Evans, Gillian Harvey, Scott Smallwood, Daniel Laforest, Brad Necyk, Marilène Oliver, Aidan Rowe, Isabelle Van Grimde, Jonathan Garfinkel, Tess Heinricks, Marilene Oliver, Blaine Campbell
DYSCORPIA: Future Intersections of the Body and Technology was a two-year interdisciplinary research project that brought together scholars from art and design, music, digital and medical humanities, radiology, computer science and contemporary dance in order to question what it means not to know...