Our research in artificial intelligence and big data explores how we can understand intelligence by constructing computational models of intelligent behavior and how we can apply the insights gleaned from the vast amount of information available in our world. Specifically, we study and develop algorithmic theories to model aspects of behavior through machine learning, predictive modeling, data mining, and causal discovery. We explore its applications in health and bioinformatics, social and organizational informatics, learning analytics, text analytics, image analytics, and computational discovery, among others.
Data Sciences and Artificial Intelligence
July 28, 2021
As online fake news detectors and spam filters become more sophisticated, so do attackers’ methods to trick them — including attacks through the “universal trigger.” In this learning-based method, an attacker uses a phrase or set of words to fool an indefinite number of inputs, which could lead to more fake news appearing in your social media fe
June 9, 2021
During the COVID-19 pandemic, essential workers tweeted less often than general users about COVID-19 but more about overall mental health issues, according to researchers at the Penn State College of Information Sciences and Technology.
May 25, 2021
With a new grant from the National Institutes of Health, an interdisciplinary team of researchers aims to examine police radio communications to observe what happens during adverse encounters between police officers and male minority youth and study any patterns of interaction that may lead to unfortunate or tragic outcomes.
May 19, 2021
Penn State faculty members James Wang, professor of information sciences and technology, and Rui Zhang, assistant professor of computer science and engineering, each received a 2020 Amazon Research Award, which was announced publicly in April of this year.