• AI-enabled Systems: Safe, Explainable, and Trustworthy (ASSET) Center
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AI-enabled Systems: Safe, Explainable, and Trustworthy (ASSET) Center

Rajeev Alur, Director The ASSET Center will act as a catalyst for new collaborations among groups researching machine learning, programming languages, natural language processing, robotics, and human-computer interaction within Penn Engineering. It will also connect them with researchers throughout the University, starting with a series of workshops held at Penn’s Perelman School of Medicine that […]

Linguistic Data Consortium (LDC)

Mark Liberman, Director The Linguistic Data Consortium supports language-related education, research and technology development by creating and sharing linguistic resources, such as data, tools and standards.

Penn Institute for Computational Science (PICS)

Aleksandra Vojvodic, Director The formation of the Penn Institute for Computational Science derives from the observation that computing is an important tool for research in essentially every field of study today; from the physical and biological sciences to every part of engineering to linguistics to medicine to psychology. Computing’s rapidly changing landscape, while presenting immense […]

Penn Research in Embedded Computing and Integrated Systems Engineering (PRECISE)

Insup Lee, Director PRECISE is the point of convergence for several related research efforts by the affiliated faculty in the areas of cyber-physical systems, distributed, real-time, and embedded systems, formal specification and verification, control theory, and trust management. Comprised of researchers from the departments of Computer and Information Science and Electrical and Systems Engineering, the […]

The ViDi Center

Norm Badler, Director The ViDi Center will fundamentally address the connections between visual analysis and re-synthesis problems, primarily involving 3D objects and environments that pose significant and interesting questions in the Humanities (but also in Medicine and Engineering). The ViDi Center will bring together Engineering and Humanities faculty to embark on deeply collaborative investigations to […]

The Warren Center for Network & Data Sciences

Michael Kearns, Director; Rakesh Vohra, co-Director The Warren Center for Data & Network Sciences is an incubator of forward-thinking research, culturally impactful innovation, and potent interdisciplinary collaboration that challenges how the world views technology. High-caliber faculty members from across the university have a place to centralize, share and develop their wide range of approaches to […]

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