Our Work Is Local, but Our Impact Is Global

This project designs and prototypes new ways to find, interpret, and evaluate online information with the goal of helping to combat rampant misinformation. It studies how people evaluate and integrate information from disparate online sources, focusing on fact-checking as it relates to the COVID-19 pandemic. 

This project examines how human-centered approaches to assess bias and fairness can address a critical gap to inform research on algorithmic fairness. 

The rise of social media and the growing scale of online information has led to a surge of intentional disinformation and incidental misinformation. It is increasingly difficult to tell fact from fiction, and the challenge is more complex than simply differentiating fake news from simple facts.

This project examines the temporal dynamics of emotional appeals in Russian campaign messages used in the 2016 election on Facebook and Twitter. 

The Whole Communities–Whole Health team has built and tested a smart device that uses environmental sensors to better understand how indoor air quality affects family health by measuring indoor air pollution, carbon dioxide levels, humidity, and temperature in real-time.

This project investigated how data ethics can be a point of departure in designing and evaluating good systems, examining the contradictions and pressure points among various data practices. 

Preliminary findings suggest that the pandemic has resulted in changes in the frequency of health behaviors. The lessons learned from this research will be incorporated in the broader Whole Communities–Whole Health cohort study with input from potential participants and community members.

This project examined how children from groups underrepresented in STEM programs understand, interact with, and evaluate AI-driven digital assistants. 

Information and cultural heritage professionals have become increasingly interested in using data science, machine learning, and AI applications in the management of data and operations at libraries, archives, museums.

Artificial intelligence systems increasingly automate and assist people in making managerial and governance decisions. AI manages worker routines and tasks, determines how to distribute resources within cities, and assists in transportation management.