Nathaniel S. Gates Faculty Mentor: David G. Kryscynski, Organizational Leadership and Strategy Introduction The purpose of this project was to investigate the impact of emotional data on strategy theory, and explore the potential of using natural language processing to obtain meaningful insights from the emotional content of written text. The theory of CSR as Insurance, […]
Search Results for: data
Association of Rare Genetics Variants to the Protection of Alzheimer’s Disease in the Cache County Data Set
Josue David Gonzalez Murcia and John Kauwe, Biology Department Introduction Alzheimer’s disease is one of the top 10 causes of death in the world and the 6th leading cause of death in the United States, with 5.5 million people diagnosed with the disease. Alzheimer’s cannot be cured, prevented or slowed. Most research with Alzheimer’s disease […]
Assembling Benchmark Datasets for Machine Learning Classification
Parker Hollingsworth and Stephen Piccolo, Biology Introduction Machine learning classification is a type of artificial intelligence that learns from data and makes predictions. There are many different algorithms that can be used to develop predictive models for machine learning. Generally the algorithm looks for patterns in the data and uses those patterns to make predictions […]
A Big Data Approach to Optimal Income Taxation Replicating Mirrlees 1971
Kramer Quist and Dr. Richard Evans, Economics Optimal labor income taxation research has long relied on simplifying assumptions regarding the convexity of policy maker decisions in order to make the associated calculus of variations optimization problem analytically tractable. Furthermore, researchers have assumed that taxable agents have simplistic distributions of ability few degrees of heterogeneity. We […]
A Digital Epigraphic Database: Partnership with Duke Collaboratory for Classics Computing
Nozomu Okuda and Dr. Roger Macfarlane, BYU Department of Humanities, Classics, and Comparative Literature Digital epigraphic databases can be of interest to scholars who study the past. Epigraphy — a word which combines the two Greek roots epi-, meaning “above” or “on,” and graphe, meaning “writing” — is the study of inscriptions. Among the epigraphic […]
Big Humanities, Big Data: Genre Analysis of Eighteenth-Century British Poetry
Brittany Strobelt, Kylan Rice, Dr. Matthew Wickman, and Dr. Billy Hall, English Department The continual digitalization of society has not only permeated research in the Humanities, but is constantly revealing just how crucial it is to the Humanities’ future. Whereas research in the Humanities is normally limited to a very narrow dataset, digital humanities tools […]
Replication of Gene-Gene Interactions in Large Alzheimer Disease Dataset
Kevin Boehme and Dr. John “Keoni” Kauwe, Biology Introduction Alzheimer’s disease (AD) is a common and complex neurodegenerative disease. It is the most common cause of dementia and is characterized by the accumulation of amyloid plaques and neurofibrillary tangles. To date, many genetic loci have been found that modify AD risk, but collectively, they explain […]
Customizing 3D models from MRI data: Creating educational anatomy models of neurologic disease
Brett Gardiner and Dr. Jon Wisco, Department of Physiology and Developmental Biology Introduction Neuroanatomy lab specimens are limited to cadaver availability and inconsistently demonstrate variations confronted in pathology. Using rapid prototyping (RP) technology to create 3D models from segmented MRI data offers distinct benefits to medical education. An efficient and replicable procedure for customizing these […]
A Big Data Approach to Optimal Taxation
Christian Baker and Richard W Evans, Economics Introduction In this project we develop a big data computational technique to solve optimal policy problems and use this method to perform an analysis of optimal sales taxation. This approach provides for the consideration of a much richer sales tax schedule than current theoretical models allow. These same […]
Gaussian Process Modeling of Modern Mass Spectrometry Computer Experimental Data
Mickey Warner and C. Shane Reese, Statistics Introduction A new mass spectrometry technique (VENDAMS) has been developed to allow the quantification of rate constants for complicated chemical reactions. Due to the expensive nature of the method, computer experiments designed to solve a set of equations provide supplemental information to the process. The computer simulator takes […]