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Data Matters to host first spring short-course series from March 13 – 16 | Tennessee
Dec. 2, 2022—The National Consortium for Data Science is a collaboration of leaders in academia, industry, and government formed to address the data challenges and opportunities of the 21st century. They are hosting their first springtime iteration of the Data Matters short-course series, virtually from March 13 – 16, 2023 in partnership with RENCI and the Odum...
Deep Learning in Archaeology: Understanding the Composition of Ancient Mortars
Oct. 27, 2022—Mortar is an essential part of construction, and has been used by builders for centuries. Ancient builders prepared them as members of changing communities of practice. But, to what degree did interactions among contemporaries lead to standardized mortars? Did builders learn from culturally different predecessors? In partnership with the Vanderbilt Data Science Institute, Dr. Markus...
New DSI Postdoctoral Fellow, Joshua Su
Sep. 20, 2022—We’re pleased to be able to introduce Zhaoqian (Joshua) Su as a new DSI Postdoctoral Fellow! Joshua comes to us from the Einstein College of Medicine where as a Postdoctoral Fellow he applied deep learning to problems related to the formation protein structures such as peptide fibrils. As a member of the DSI Data Science...
Mchaourab Lab: Towards Enabling AI for Spectroscopy and Protein Folding
Apr. 11, 2022—Interested in biomedicine, protein folding, protein dynamics, biological function, or spectroscopy? Want to learn more about the intersection of these topics with artificial intelligence (AI), deep learning (DL), computation, and data science? This may be the opportunity for you! The Mchaourab Lab investigates mechanisms of protein folding, and currently welcomes skilled students at all levels...
Understanding “Authorship” of the Torah (05/06/22)
Apr. 5, 2022—About Dr. Phil Lieberman, Jewish Studies Research Context 1 The Torah was originally transcribed in Medieval times, where medieval scholars transcribed the consonants. This could produce ambiguity; consider the New York Times – if you read the words “sh rd ths” – that could resolve to many different phrases when you add in the vowels....
Clinical Notes Large Language Models (04/08/22)
Apr. 5, 2022—About Clinical notes and other free-text documents provide a breadth of clinical information that is not often available within structured data. Transformer-based natural language processing (NLP) models, such as BERT, have demonstrated great promise to improve clinical text processing. However, these models are commonly trained on generic corpora, which do not necessarily reflect many of...
Multimodal Neuroimaging Data (04/15/22)
Apr. 5, 2022—About The goal of this project is to employ deep learning on paired EEG-MRI data in order to make MRI predictions based on EEG alone. The project currently has ~40 subjects with paired MRI-EEG data (collected separately but with the same task design), which will grow to ~250 subjects over the next several years.
Student Teacher Interaction Analytics (04/01/22)
Apr. 5, 2022—About The Education and Brain Science Research Lab is beginning the Student Teacher Interaction Analytic (STiA) project to determine the relationship between executive function language used by teachers during reading instruction and reading outcomes. Executive function (EF) is a set of cognitive controls that support us in planning, monitoring, and executing our behaviors and actions...
Revolutionizing Learning Engagement through Technology: Talk to Einstein
Mar. 22, 2022—Looking to work with training transformers for revolutionizing learning engagement in the humanities? Read on to learn more about a novel application by Dr. Ole Molvig – assistant professor of History and founder of the Emergent Technology Lab at the Wond’ry! About Talk To Einstein is an experiment in algorithmically generated (or “synthetic”) media based...
Analyzing Audio Files to Determine Therapy Efficacy
Jan. 19, 2022—Current Project: Using automatic speech recognition to transcribe audio files from patients with depression to determine efficacy of therapy. Before and after outcomes will be assessed using telephone audio files where participants were called and asked what they were “thinking” at the moments just before the call. These audio files can be coded using audio...