COVIDMINDER Web Application
John Erickson, of the Institute for Data Exploration and Applications (IDEA) at Rensselear Polytechnic Institute (RPI), is the lead engineer of COVIDMINDER--a graph and map-based visualization tool for COVID-19 statistics across the nation, by state and by county, with daily updates. COVIDMINDER is an outgrowth from MORTALITYMINDER which graphs and maps the demographics of mortality disparities. These projects are under the Health INCITE program at RPI with Dr. Kristen Bennett, and is funded by the United Health Foundation.
COVIDMINDER: Where you live matters
Students and staff of The Rensselaer IDEA's Health INCITE program are developing a new data visualization tool that examines how and why COVID-19 impacts regions differently.
Spring 2020 TWed Virtual Lightning Talks
Plan to join us for a very, VERY special TWed as the Tetherless World Constellation holds a "virtual" version of our end-of-term Graduate Research "Lightning Talks." TWed Lightning Talks are a great way for the TWC community and friends to learn of the wide range of amazing research happening in the Tetherless World, and "a good time is had by all!"
Privacy Preserving Synthetic Health Data Generation and Evaluation
Attempting to use real medical data in a classroom setting is hard to do without limiting yourself to specific datasets. Through the research being presented we work to create an end-to-end workflow for generating synthetic health data and testing the synthetic data for privacy, resemblance, and utility. This includes creating a novel generation method called HealthGAN and defining metrics for measuring the privacy and resemblance of the generated data. The utility of the data is then measured in the context of the analysis task the dataset was designed to accomplish.
IDEA Webinar: "COVIDMINDER: Revealing regional disparities in outcomes, determinants, and mediations of the COVID-19 pandemic"
COVIDMINDER examines how and why COVID-19 impacts regions differently. Using daily updated data, COVIDMINDER compares community risks, mediation tools, and outcomes related to COVID-19 by state across the United States, and by county within New York state.
First Annual Cognitive and Immersive Data Insights Application Challenge (June 5–6, 2018)
On June 5-6, 2018 The Lally School of Management, the Rensselaer Institute for Data Exploration and Applications (IDEA) / Health INCITE, the Center for Global Communication+Design (Comm+D), and the Cognitive and Immersive Systems Lab (CISL) presented the 2018 Rensselaer Cognitive and Immersive Data Insights Application Challenge. More than 40 RPI undergrad and grad students competed in this inaugural challenge to create immersive, multimodal, collaborative applications using health and business datasets.
COVID-19 Modeling and Data Resources Recommendations Needed
Posted March 23, 2020
Letter from Richie C. Hunter, Vice President, Strategic Communications and External Relations, soliciting suggestions for COVID-19 modeling and data resources for IDEA and the Rensselaer Libraries
COVID-19 Modelling Resources, Data and Challenges (updated: 16 Dec 2020)
Rensselaer data analytics students, researchers and colleagues are analyzing the data emerging from the 2019-2020 COVID-19 outbreak/pandemic. In early March 2020 The Rensselaer IDEA started gathering a set of resources on exploring and modelling current global data. This list will be updated periodically as new resources become available. Many thanks to our friends and colleagues near and for for contributing to this list!
TWed Talk: Minor Gordon on "A clean architecture for semantic web applications"
User expectations of modern web applications continue to outpace the productivity of the software engineering process. The semantic web application stack of RDF, SPARQL, and related technologies, provides many benefits to users and developers, at the expense of additional complexity that impedes the engineering process. I will present a new software architecture that attempts to maximize the user-visible benefits of these technologies while minimizing their impact on developer productivity.