Machine Learning
Escaping Despair: Understanding the Decline in US Life Expectancy
Aug. 25, 2021—The rise in midlife mortality in the United States has been attributed to causes of death including suicide, poisoning/overdose, and alcohol-related liver disease. These cluster of causes, regarded as the deaths of despair, are postulated to reflect an underlying feeling of hopelessness and resulting self-destructive behaviors. However, there is limited research testing whether individual feelings...
Laying Down the Law with Class Action Lawsuits
Aug. 16, 2021—How do judges choose a fair amount for attorney’s compensation in class action lawsuits? Is the decision consistent across similar court cases? Are there quantifiable defining characteristics that form the basis for differentiation in attorneys’ fees awards? Attorney and Milton R. Underwood Chair in Free Enterprise Law Professor Brian Fitzpatrick seeks to answer these questions....
Beating the Stock Market with Machine Learning: Better Algorithms or Better Data? (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Qinlian Yang to work with Dr. Jesse Blocher in the Owen Graduate School of Management during the summer of 2021. Qinlian is a senior with major in Mathematics and minors in Computer Science and Business Administration. The project funded by this fellowship aims to understand how to predict the stock market with enhanced precision using...
Microdebitage Soil Analysis of Tzikin Tzakan Stoneknappers (DSI-SRP)
Aug. 15, 2021—This DSI-SRP fellowship funded Amy Rieth to work in the laboratory of Professor Markus Eberl in the Department of Anthropology during the summer of 2021. Amy is a junior with majors in Anthropology and English. The project funded by this fellowship investigated the effectiveness of two methods of computer-based soil particle sorting methods. This investigation...
Unearthing New Discoveries: Mapping Nacimiento through Soil Samples with Machine Learning
Aug. 11, 2021—What was life like for ordinary citizens in ancient civilizations? What were their activities in their daily lives – walking the same ground that we walk today? Archaeologist and Associate Professor of Anthropology Dr. Markus Eberl seeks to answer these questions for the the small Mayan site of Nacimiento in the Petexbatun region of Guatemala...
Data Science for Social Good: Recycling in Nashville
Jul. 6, 2021—Would Nashville even be Nashville without the scores of construction cranes dotting the skyline of the city? Nashville is a rapidly growing and evolving city, in both population and infrastructure. With growth comes construction, renovation, remodeling, and demolition – generating tons of waste which can be responsibly recycled and reused. In 2017, Nashville Public Works initiated...
Data Science for Social Good: Legal Assistance for Tennesseans
Jul. 6, 2021—The need for legal assistance across Tennessee outpaces the capacity of available lawyers. Legal representation is more available in urban than in rural counties, and the magnitude and type of unmet needs in rural counties is unknown. This summer, three Data Science for Social Good Fellows are building predictive models to estimate the number and...
Develop an Automated Deep Learning Method of AOI Identification in Surgical Videography (DSI-SRP)
Aug. 1, 2020—This DSI-SRP fellowship funded Tingyan (Nicholas) Deng to work in the laboratory of Professor Benoit Dawant in the Department of Electrical Engineering and Computer Science during the summer of 2020. Tingyan is majoring in Computer Science, Math, and Economics, and is minoring in Business and Scientific Computing. The project funded by this fellowship aimed to...
Big Healthcare Data Learning (DSI-SRP)
Aug. 1, 2020—This DSI-SRP fellowship funded Yuzhe Lu to work in the laboratory of Professor Yuankai Huo in the Department of Electrical Engineering and Computer Science during the summer of 2020. Yuzhe anticipates graduating in May 2022 with majors in Math, Computer Science, and Medicine, Health, and Society. The project funded by this fellowship proposed a novel...
Comparing Traditional Statistics and Machine Learning Methods for Predicting Metabolic Syndrome Status from Social Factors (DSI-SRP)
Aug. 1, 2019—This DSI-SRP fellowship funded Rachel Fan to work in the laboratory of Professor Lauren Gaydosh in the Department of Medicine, Health, and Society during the summer of 2019. Rachel is an undeclared student who anticipates graduating in 2022. The project funded by this fellowship aimed to understand the effects of social relationships and isolation on...