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OUR
Jun. 3, 2020—
STUDENTS
Jun. 3, 2020—
Data Science Next Generation Committee
Feb. 28, 2020—
Confronting the Digital Deluge: Archaeological Data in the Age of Photogrammetry, Remote Sensing and Machine Learning
Jan. 16, 2020—April 3, 2020 | 12pm Confronting the Digital Deluge: Archaeological Data in the Age of Photogrammetry, Remote Sensing and Machine Learning At its core, the collection of archaeological data has historically been a destructive endeavor. In order to generate our datasets, the processes of excavation, documentation, and curation of the material traces of human activity...
From Moral Reasoning to Visual Reasoning: Using AI to Model and Understand Intelligent Decision Making
Jan. 16, 2020—March 13, 2020 | 12pm From Moral Reasoning to Visual Reasoning: Using AI to Model and Understand Intelligent Decision Making My research aims to investigate how humans or other intelligent agents make meaningful decisions, and how to enhance human-technology partnerships through the development of AI systems that promote inclusion and assist people. In particular, my...
Political Semantics: Methods and Applications in the Study of Meaning for Political Science
Jan. 16, 2020—February 28, 2020 | 12pm Register to Attend Here Political Semantics: Methods and Applications in the Study of Meaning for Political Science The past few years have seen enormous advances in the computational modeling of language. These innovations offer social scientists the potential to move beyond the use of linguistic data for descriptive analyses —a...
Evaluating the Effectiveness of Mental Health Interventions and Access for Rural Children in Tennessee
Jan. 16, 2020—April 10, 2020 | 12pm Evaluating the Effectiveness of Mental Health Interventions and Access for Rural Children in Tennessee Rising prevalence of mental health conditions and suicidal ideation among children in the United States is a public health crisis. Important barriers to improvement in outcomes of those suffering mental health challenges include undiagnosed illness and...
Machine Learning for Ultrasound Imaging Applications
Jan. 15, 2020—February 14, 2020 | 12pm Register to Attend Here Machine Learning for Ultrasound Imaging Applications Ultrasound remains an invaluable tool for clinicians because it is real-time, cost-effective, and portable. However, poor image quality can make diagnostic and guidance tasks with ultrasound unreliable. Machine learning techniques applied to ultrasound data have had great success for improving...
Data Science in Astronomy
Jan. 15, 2020—January 31, 2020 | 12pm Register to Attend Here Data Science In Astronomy In the era of large-scale astronomical surveys, methods to investigate these data, and especially to classify astronomical objects, become more and more important. I will give a brief overview of state-of-the-art methods of data handling and machine learning techniques used in astronomy,...
Joey Callahan
Jan. 14, 2020—