Artificial Intelligence and Big Data

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.

Associated Faculty
Photo of C. Lee Giles

David Reese Professor of Information Sciences and Technology

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Photo of Vasant Honavar

Professor and Edward Frymoyer Chair of Information Sciences and Technology

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Photo of Hadi Hosseini

Assistant Professor

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Photo of Sharon Huang

Associate Professor

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Photo of Zhenhui (Jessie) Li

Associate Professor

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Photo of Fenglong Ma

Assistant Professor

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Photo of Prasenjit Mitra

Associate Dean for Research

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Photo of Sarah Rajtmajer

Assistant Professor

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Photo of Justin Silverman

Assistant Professor

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Photo of James Wang

Professor

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Suhang Wang

Assistant Professor

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Photo of Shomir Wilson

Assistant Professor

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Photo of Amulya Yadav

PNC Career Development Assistant Professor

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Photo of John Yen

Professor

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Photo of Xiang Zhang

Associate Professor

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Photo of Zihan Zhou

Assistant Professor

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Recent News

Facebook posts could identify substance use risk in homeless youth

February 1, 2021

What a person posts on Facebook could predict their risk for substance use, according to new research led by the Penn State College of Information Sciences and Technology.

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$500,000 grant funds creation of institute to advance AI for materials science

January 27, 2021

A National Science Foundation grant will help lay the foundation for an interdisciplinary institute that encourages the use of artificial intelligence-enabled materials discovery, design and synthesis, according to a team of researchers.

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AI-defined COVID-19 testing strategy could lead to fewer infections

January 21, 2021

A new algorithm developed by researchers at the College of Information Sciences and Technology could help leaders of governments and organizations make better informed decisions on how many symptomatic and asymptomatic individuals to test for COVID-19 with a limited supply of daily tests, and at what stage of the pandemic.

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What if opting out of data collection were easy?

January 14, 2021

A new multi-institution study shows a dearth of privacy opt-out choices and offers a solution to empower users to readily identify choices often buried deep in the text of privacy policies.

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Office of Research

E339 Westgate Building
University Park, PA 16802

researchadmin@ist.psu.edu
(814) 863-6801