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
August 25, 2021
Imagine you are asked to rank the counties in Pennsylvania in terms of number of COVID-19 infections. Or you may be asked to rank cities in Pennsylvania based on their populations.
August 10, 2021
Researchers received a $900,000 grant to create artificial intelligence that can plan for and solve future problems. They will test the new software on the video game Minecraft.
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.