| Institute for Data Exploration and Applications (IDEA)

RPIrates & Data INCITE Tutorial: Welcome to the tidyverse!

Data transformation and management are key to success with R, so we'll talk about Hadley Wickham's 'tidyverse', a collection of R packages that reinforce the principles of his "Tidy Tools Manifesto": * Reuse existing data structures. * Compose simple functions with the pipe operator. * Embrace functional programming. * Design for humans.

RPIrates Tutorial: Rock your Dataviz World with ggplot2!

RPIrates: The RPI R Users Group and the Rensselaer Data INCITE program present this version of the famous ggplot2 tutorial, re-constructing a famous figure from The Economist step-by-step. Demonstrates current R methodology including tidyverse and many aspects of ggplot2.

RPI SafeCampus

RPI SafeCampus reveals WiFi access point usage and aggregations of wireless users on the campus network at Rensselaer Polytechnic Institute.

RPI StudySafe

RPI StudySafe reveals the anonymous usage of Wi-Fi access points and aggregations of wireless users on the campus network at Rensselaer Polytechnic Institute

FOCI Computing Resources

The Rensselaer Future of Computing Institute (FOCI) provides a set of resources for campus users needing dedicated computation for applications ranging from data analytics to deep learning systems. Key facilities include:

COVID WarRoom

COVID WarRoom has been designed to aid in the development of re-opening strategies as we begin the re-opening process. Presently, COVID WarRoom allows the user to select a location for analysis, and then define the parameters by using one of our four predefined Social Distancing models: Linear Auto-SD, Linear Default-SD, Quadratic Auto-SD, and Quadratic Default-SD.

RPI StudySafe

A Web application designed for RPI students to navigate campus safely in the wake of the COVID-19 crisis. It is built on the R Shiny application framework, written primarily in R, with some UI functionality written in Javascript and HTML. The app informs students on how many people are in a given building on campus and gives recommendations based on past data.

Data INCITE

The Rensselaer Data INCITE pipeline for undergraduate data science education consists of an early data analytics course followed by applied data science research experiences on real-world problems. Data INCITE results in data science skills and prompts students to pursue further coursework and careers in data science.

COVID Twitter NLP

In this exploratory study, we scrutinize a database of over one million tweets collected from March to July 2020 to illustrate public attitudes towards mask usage during the COVID-19 pandemic. We employ natural language processing, clustering and sentiment analysis techniques to organize tweets relating to mask-wearing into high-level themes, then relay narratives for each theme using automatic text summarization. In recent months, a body of literature has highlighted the robustness of trends in online activity as proxies for the sociological impact of COVID-19.

COVID Back-to-School

To control spread of COVID, we must implement social distancing measures. Rather than arbitrarily implementing measures against COVID spread, we have built a tool that gives you a quantitative approach to controlling spread. COVID Back-to-School is a tool for generating actionable information on how to reopen schools (elementary, secondary, boarding), universities, workplaces, etc. For different settings of the social distancing "knobs,: you can find out how the infection will spread in your school/university/organization. You can tune the knobs until the spread is a tolerable level for you. The settings for these knobs will then tell you what social distancing protocols you need in place to accomplish that level of tolerable spread.

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