COVIDMINDER

COVIDMINDER reveals the regional disparities in outcomes, determinants, and mediations of the COVID-19 pandemic. Outcomes are the direct effects of COVID-19. Social and Economic Determinants are pre-existing risk factors that impact COVID-19 outcomes. Mediations are resources and programs used to combat the pandemic. COVIDMINDER analysis and visualizations are by students and staff of The Rensselaer Institute for Data Exploration and Applications at Rensselaer Polytechnic Institute with generous support from the United Health Foundation. COVIDMINDER is an open source project implemented on the R Shiny platform.

MORTALITYMINDER

MortalityMinder (MM) is a web-based visualization tool that enables interactive exploration of social, economic and geographic factors associated with premature mortality among mid-life adults ages 25-64 across the United States. Using authoritative data from the CDC and other sources, MM is a freely available, publicly-accessible, open source, and easily maintained tool. The goal of MortalityMinder (MM) is to enable healthcare researchers, providers, payers, and policy makers to gain actionable insights into how, where, and why midlife mortality rates are rising in the United States (US). It is designed to help healthcare payers, providers and policymakers at the national, state, county and community levels identify and address unmet healthcare needs, healthcare costs, and healthcare utilization.

James Hendler

James Hendler
Director, the Rensselaer IDEA & Tetherless World Chair of Computer, Web and Cognitive Sciences

James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI.  He also heads the RPI-IBM Center for Health Empowerment by Analytics, Learning and Semantics (HEALS) and serves as a Chair of the Board of the UK’s charitable Web Science Trust. 

One of the originators of the “Semantic Web,” Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the AAAI, BCS, the IEEE, the AAAS and the ACM. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is also the first computer scientist to serve on the Board of Reviewing editors for Science. 

In 2010, Hendler was named one of the 20 most innovative professors in America by Playboy magazine and was selected as an “Internet Web Expert” by the US government. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, became a member of the National Academies Board on Research Data and Information and in 2018 became chair of the ACM’s US technology policy committee and was elected a Fellow of the National Academy of Public Administration.

 

Education

Ph.D., Computer Science, Artificial Intelligence, Brown University

Sc.M., Computer Science, Artificial Intelligence, Brown University

M.S., Cognitive Psychology, Human Factors Engineering, Southern Methodist University

B.S., Computer Science, Artificial Intelligence, Yale University

RPIrates Special Edition: Introducing the RPI StudySafe App

Using near-real-time, anonymous WiFi data from more than 1300 wireless access points on campus, students working with the Rensselaer IDEA's Data INCITE program during the Summer and Fall 2020 terms created an app to help students easily identify crowded and open spots around campus.

SCIENCE with Blockchain

This is a research project to develop a trustworthy, accountable, data sharing eco-system for biomedical research that utilizes knowledge representation and blockchain technologies to address the challenge of the costly and time-consuming effort needed to bring a biomedical innovation from the bench (basic research) to bedside (clinical level).
Rensselaer Students Create StudySafe App for Safe Distancing On Campus erickj4 Mon, 03/15/2021 - 13:46

The RPI StudySafe app reveals the population and density of wireless users in locations across the Rensselaer Polytechnic Institute campus by monitoring near-real-time, anonymized WiFi access data.

RPIrates Tutorial: Simple Database Access with R

Take some time out from your busy week to talk about database access with R!

In this informal tutorial we'll share some recent experiences using remote and in-memory SQL databases (MySQL and SQLite) to access and analyze near real time, aggregated RPI WiFi data for the RPI SafeCampus and StudySafe applications. As time permits we may also cover our use of ElasticSearch, esp. in our COVID Twitter project, and SPARQL endpoints (Blazegraph, StarDog) as data sources.