Isma Gilani presented “EduHeLx – HeLx for Education,” which provided an overview of the use of HeLx, a scalable computing platform developed by RENCI for students to address the need of scalable and robust cyberinfrastructure in the cloud.
Kira Bradford spoke on efforts from the “Helping to End Addiction Long-Term (HEAL)” Data Stewardship Group to provide solutions for managing and coordinating the diverse data across the HEAL Initiative.
Todd BenDor discussed “Open Science & Data Management at the Odum Institute,” and presented on the UNC Dataverse and how it supports the Odum Institute’s values of open science and FAIR Principles
Snigdha Chaturvedi discussed “Data Storytelling through Natural Language Generation,” and presented projects that implement natural language processing (NLP) to convert computer data to human text. Using NLP, human text can be generated through text, graph, or a table.
Danielle Szafir presented “Making Data Visible: Cognitively-Driven Data Visualization @ The VisuaLab,” which provided an overview of projects at The VisuaLab, comprised of researchers working to make data analysis more efficient by studying, understanding, and predicting how people will work … Continued
David Gotz spoke on various efforts from the “The Visual Analytics and Communication Lab,” which conducts research at the intersection of interactive visualization, human-computer interaction, and machine learning.
Naim Rashid spoke on “Cancer Data Science: From Code to Clinic,” which aims to translate data science models for the benefit of cancer patients. Rashid shared a case study on pancreatic cancer, and explained that the median survival rate for … Continued
Nabarun Dasgupta presented two projects from the Opioid Data Lab: an algorithm to predict out-of-hospital death using insurance claims data and an initiative to understand and communicate the content inside street drugs.
Chris Bizon discussed “Heterogeneity in Obesity Creativity Hub: Transdisciplinary Approaches for Precision Research and Treatment,” and presented data science tools used within the Obesity Hub, a project that aims to take a multidisciplinary and multi-modal approach to understanding obesity.
Emily Putnam-Hornstein spoke on “Predictive Risk Modeling: A Controversial (but necessary) Tool for Child Protection,” methods used to develop algorithmic risk models that could save the lives of children.