ICDS directly supports a number of research centers at Penn State that are dedicated to researching problems of societal and scientific importance through the application of computational and data sciences. Other centers affiliated with ICDS use the institute’s resources or perform work relevant to the ICDS mission.
AI Hub
Center for Artificial Intelligence Foundations and Scientific Applications (CENSAI)
The Center for Artificial Intelligence Foundations and Scientific Applications (CENSAI) aims to foster collaborative, interdisciplinary research across Penn State and beyond aimed at addressing the AI grand challenge of accelerating scientific progress through synergistic advances across multiple areas of AI, including literature-based discovery, scientific knowledge representation, experiment planning and optimization, machine learning and causal inference, and human-AI collaboration.
Applications of Artificial Intelligence and Machine Learning to Industry (AIMI) Research Center
AIMI at ICDS and Penn State connects businesses with cutting-edge AI/ML expertise to solve real-world problems and seize market opportunities. Serving both SMEs and large corporations, AIMI focuses on solutions that impact production, manufacturing, and services. As part of the Institute for Computational and Data Sciences, AIMI leverages ICDS infrastructure and services, fosters partnerships with Penn State faculty and industry leaders, and offers fellowships to researchers to promote collaborative projects.
Center for Artificial Intelligence Foundations and Engineered Systems (CAFE)
The Center for Artificial Intelligence Foundations and Engineered Systems (CAFE) focuses on accelerating advances by synergistically advancing AI foundations and the techniques to deploy them efficiently toward applications focused on engineered and defense systems. CAFE provides opportunities for research partnerships, faculty/student recruitment, and technology transition to practice.
Center for Socially Responsible Artificial Intelligence (CSRAI)
The Center for Socially Responsible Artificial Intelligence aims to enhance interdisciplinary education, research, and outreach in artificial intelligence; its applications; and its impact on work, society, and all aspects of our daily lives. The Center promotes the development and application of AI to all areas of human endeavor, with an emphasis on understanding the social and ethical implications of these activities. The Center also supports and encourages activities that enhance social good through the ethical use of AI and efforts that can mitigate threats from its misuse.
ICDS Research Centers
Center for Immersive Experiences (CIE)
The Center for Immersive Experiences (CIE) provides cutting-edge immersive technologies, knowledge, and skills to the Penn State community with the goal to create leadership in immersive experiences by advancing the underlying science and integrating it into the academic spectrum through research, education, and outreach.
Affiliated Research Centers & Labs
Center for Advanced Data Assimilation and Predictability Techniques (ADAPT)
The Penn State Center for Advanced Data Assimilation and Predictability Techniques (ADAPT) seeks to integrate and enhance the existing strength and expertise in cutting-edge data assimilation (DA) and predictability research across Penn State. DA is the process of finding the best estimate of the state and associated uncertainty by combining all available information including model forecasts and observations and their respective uncertainties. DA is best known for producing accurate initial conditions for numerical weather prediction (NWP) models, but has been adopted for state and parameter estimation for a wide range of dynamical systems across many disciplines, using physics-based and AI-based approaches. Predictability is the ability to predict the future state of a dynamical system and quantify uncertainties.
Center for Astrostatistics
The Center for Astrostatistics (CASt) aims to advance the application of advanced statistical and computational methods to the analysis and interpretation of data from astronomical surveys and astrophysical simulations. CASt researchers develop and adapt algorithms to address pressing questions in subfields such as cosmology, exoplanets, galaxy formation, gravitational waves and stellar astronomy. CASt faculty help accelerate the adoption of emerging tools from the data sciences in astronomy through teaching upper-level courses at Penn State, organizing advanced summer schools for astronomers across the globe, developing open-source scientific software and tutorials, and sharing curricular materials
Interdisciplinary Scientific Computing Laboratory (ISCL)
The Interdisciplinary Scientific Computing Laboratory (ISCL) performs research at the intersection of data science, applied mathematics, computational physics, and high-performance computing to enhance the modeling and understanding of complex multifidelity and multiphysics phenomena in various science applications.