DSI-Supported Research
Vanderbilt DSI Students Triumph at Hacklytics
Mar. 1, 2024—DSI Students Shine at Hacklytics Our Data Science Institute is proud to highlight the achievement of four of our master’s students: Jasmine Guo, Margo Kim, Minwoo Sohn, and Qifan Lin, who recently emerged victorious at Hacklytics, a 36-hour hackathon hosted by Data Science @ GT. This event, known for its intense focus on data science,...
AI Deep Dive: Decoding Interactions
Feb. 15, 2024—AI Deep Dive: Decoding Interactions Event Overview Join us for an AI Deep Dive session, where we’ll feature a team of VUMC researchers led by Dr. Eric Skaar, in collaboration with our dedicated Data Science team. Dr. Skaar’s laboratory, which is focusing their work in infectious diseases, looks to gain deeper insights into Staphylococcus aureus,...
Empowering Change: The ‘Freequalizer’ Project and DSI’s Summer of Innovation
Feb. 1, 2024—Spotlight on “Freequalizer”: A Beacon of Mentorship and Innovation at DSI As we continue to champion data-driven solutions for societal challenges, DSI proudly highlights the success of the “Freequalizer” project, led by Karol Sadkowski. Unveiling the “Freequalizer” Initiative This project, a partnership between the Future of Free Speech Project and DSI, aimed to tackle the...
AI Winter 2024 Recap
Jan. 10, 2024— Reflecting on the AI Winter Workshop: A Journey Through Generative AI As we bid farewell to the four-day AI Winter Workshop, we’d like to bring you a comprehensive recap of the event. Our journey through the world of generative AI was an interactive and collaborative experience, thanks to our attendees and speakers. A Look...
DSI Spring 2024 Projects: Second Round Deadline!
Jan. 8, 2024—Second Round Applications Now Open for DSI Spring Semester Projects! Don’t miss your chance to be part of some fantastic research projects with Vanderbilt’s Data Science Team (DSI) this Spring. We’re seeking passionate individuals for our innovative projects. Featured Projects for Application: Developmental Stuttering and Persistency: Collaborate with experts to develop AI models for identifying...
AI Deep Dive: Harnessing Technology for Improved Speech Health
Nov. 2, 2023—On October 27th, we had the privilege of hosting an AI Deep Dive Session with Dr. Matthew Pontell, where we discussed the use of generative AI for enhancing speech therapy and improving speech dysfunction. This session brought to light the innovative strategies and recovery techniques that promise better speech health outcomes for those suffering from...
What is “Human Nature” in the eyes of the US courts.
Oct. 16, 2023—On October 6th, we had the privilege of hosting an AI Deep Dive Session with Professor Owen Jones, where conversations were had around the quest to answer the question: ‘What is “human nature” in the eyes of US Courts?’ This session spotlighted the capabilities of AI in navigating and analyzing extensive legal data, especially court...
Senior Data Scientist, Myranda Shirk, Leads Mentees to Create Chatbot-like Interface
Sep. 10, 2023—DSI Senior Data Scientist, Myranda Shirk, is a mentor for the ECMWF (European Centre for Medium Range Weather Forecasting) Code for Earth program. Her mentees this summer created a chatbot-like interface to search their data, based on some of Myranda’s previous work at NOAA. ECMWF has now put this interface on their website! It is accessible at: https://chat.ecmwf.int/....
Wernke and Huo awarded NEH grant to conduct the largest archaeological imagery survey in the Western Hemisphere using AI
Sep. 8, 2023—Vanderbilt University’s research team, led by Steven Wernke, Yuankai Huo, and Parker VanValkenburgh, from Brown University, have been awarded a significant National Endowment for the Humanities grant to develop GeoPACHA 2.0, a next-generation archaeological mapping technology. This innovative project aims to unveil intricate details about vast settlement systems in the Andes using cutting-edge data science and AI-assisted survey techniques. The...
Machine Learning–Based Identification of Lithic Microdebitage
Sep. 1, 2023—Dr. Markus Eberl, Associate Professor Archaeology at Vanderbilt University, speaks about his team’s use of a particle scanner to analyze micro-debitage. They used machine learning to analyze the data set and tried to learn more about early life than we could otherwise. Markus Eberl worked with the DSI team in 2022 on the Ancient Mortars project.