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.

Twed Talk: What's a Personal (Health) Knowledge Graph?

Recent years have seen a rising interest in combining the rich structured information contained in knowledge graphs with applications involving personalization. This talk will discuss insights into the emerging topic of "personal knowledge graphs", including key research challenges identified in literature and examples of proposed personal knowledge graph systems (especially in the domain of personalized health).

Student-Built App Wins Prize from HHS Agency for Healthcare Research and Quality Competition

Posted February 12, 2020

The U.S. Department of Health and Human Services Agency for Healthcare Research and Quality has awarded a Rensselaer Polytechnic Institute team $15,000 for an app called MortalityMinder, which identifies social conditions contributing to declining life expectancy at a community level.

Fit to read: Making your figures legible in print and on the slide

Rendering your images at high resolution is only the first step towards creating legible figures. We will discuss how to render figures so that they are readable on the page, and why sometimes using the same rendering of a figure for print and PowerPoint can leave everyone dissappointed.

RPIrates: The RPI R Users Group

Welcome to RPIrates: The RPI R Users Group! We are a growing community --- over 350 subscribers! --- of students, faculty and staff at Rensselaer who gather virtually and in person to support each others' use of the R open source analytics platform. In semi-weekly meetings we explain useful packages, share "feats of strength," and of course "air grievances!"