Podcasts and Videos
Please join us for a final review of our IDEA Health INCITE COVID Campus Reopening Summer Projects. During this hour our students presented their Summer 2020 work on campus "de-densification" and WiFi monitoring, including building and campus flow, classroom occupancy, and "SafeStudent" applications.
NOTE: Recording of these group presentations were split into two half-hour recordings.
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. Go online (now!) and check out the COVIDMINDER web application at "covidminder.idea.rpi.edu" and the related MORTALITYMINDER at "mortalityminder.idea.rpi.edu".
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!"
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. The workflow is then tested by attempting to create synthetic versions of two real medical datasets from a secure environment.
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. I will also discuss an implementation of the architecture using off-the-shelf tools, such as TypeScript, GraphQL, and Scala, in conjunction with semantic web technologies. The result serves as a vehicle for delivering bespoke web applications for sponsored research projects, incorporating research into symbolic artificial intelligence, and helping students learn modern software engineering.