Rutgers Urban and Civic Informatics Lab

Rutgers Urban and Civic Informatics Lab

Healthcare Analytics & Social Determinants of Health

Healthcare Analytics & Social Determinants of Health

The field of healthcare administration is concerned with better patient care and healthcare delivery. The RUCI Lab is interested in using emerging technologies and novel sources of data for analytics to improve upstream determinants of health such as transportation...
Wearable Devices for Mobility and Wellbeing

Wearable Devices for Mobility and Wellbeing

Recent increases in the use of wearable technology has opened up many new avenues of research. There are now vast numbers of wearable devices on the market which are used to record fitness and other leisure activities, monitor personal health and safety, and for...
Movement Patterns and Telecommuting Post-COVID in New Jersey

Movement Patterns and Telecommuting Post-COVID in New Jersey

A lot has changed in New Jersey since the beginning of COVID. Dr. Vonu Thakuriah and RUCI Lab researchers have used a variety of data sources to track how places and people’s movements are changing over time, as we move beyond the health emergency. Based on cell phone...
Global Poverty Alleviation Analytics

Global Poverty Alleviation Analytics

Woojin Jung, Assistant Professor at the Rutgers School of Social Work, and RUCI Lab Faculty Affiliate, is focused on utilizing geospatial data analytics, with a particular emphasis on poverty alleviation analytics in developing countries and communities. This body of...
Event Detection in Cities and Social Media Analytics

Event Detection in Cities and Social Media Analytics

Event detection or identifying disruptions in the city’s economic, social or behavioral patterns are of great interest in Urban Informatics. Social media data offers the potential to understand trends and patterns, real-time monitoring of disruptions and events, as...
Visualizing the Spread of COVID-19 in the United States

Visualizing the Spread of COVID-19 in the United States

The New York Times created a public dataset tracking the spread of COVID-19 by county since the beginning of the year. This national, county-level dataset is a valuable resource for researchers and is a result of the collaborative effort journalists working across the...
CES-COVID19: Tracking Social and Economic Effects of COVID-19

CES-COVID19: Tracking Social and Economic Effects of COVID-19

The RUCI Lab’s project “CES-COVID19” is a cyberinfrastructure that captures real-time or close-to real-time data on social and economic effects of COVID-19, and brings data streams on different sectors together to support decision-making by local and regional...