ICDS Affiliated Centers
ICDS supports a number of research centers at Penn State that are dedicated to research relevant to the ICDS mission.
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.
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.
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.
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.
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.
The Center for Computational Mathematics and Applications (CCMA) serves as a hub for cutting‑edge research, education, and collaboration in computational mathematics. Bringing together expertise in algorithmic development, numerical analysis, and advanced computational methods, the center supports innovative work across the sciences, engineering, finance, and industry. CCMA fosters a dynamic environment that advances foundational scientific computing while also promoting emerging fields such as machine learning and quantum computing. Through interdisciplinary partnerships and robust educational initiatives, the center is dedicated to preparing students and researchers to excel in both established and rapidly evolving areas of computational science
TRAnscendIng Natural hazards forecasting (TRAIN) is an Environmental and Energy Study Institute (EESI) Center Initiative. TRAIN aims to integrate advanced technological approaches and high-performance computing into complex geophysical and atmospheric research, with the goal of bringing Penn State researchers together to form a nationally-recognized center for natural hazards research.
Data Sciences (DS) Hub
The Center for Astrostatistics & Astroinformatics (CAStAi) aims to advance the application of advanced statistical and computational methods to the analysis and interpretation of data from astronomical surveys and astrophysical simulations. CAStAi researchers develop and adapt algorithms to address pressing questions in subfields such as cosmology, exoplanets, galaxy formation, gravitational waves and stellar astronomy. CAStAi 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
The National Synthesis Center for Emergence in the Molecular and Cellular Sciences (NCEMS) accelerates discovery by supporting and collaborating with multidisciplinary teams to integrate diverse, publicly available molecular and cellular data, enabling deeper and broader scientific insights. Through this synthesis‑driven approach, NCEMS empowers researchers to leverage advanced computational and data‑science techniques to investigate complex biological phenomena, fostering an environment where integrated data resources and collaborative expertise drive new understanding across the molecular and cellular sciences.
Digital Twins (DT) Hub
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.
Center for Theory of Emergent Quantum Matter (C-TEQ)
The Center for Theory of Emergent Quantum Matter (C‑TEQ) at Penn State is a leading research center for advancing the theoretical foundations of quantum science and technology, with a focus on the emergent behaviors that arise in complex quantum many‑body systems. Bringing together world‑renowned experts and uniting previously dispersed strengths across physics, chemistry, materials science, engineering, and computer science, C‑TEQ provides a vibrant, collaborative environment designed to catalyze transformative research. By fostering interdisciplinary discovery, supporting elite postdoctoral fellows, and integrating deeply with Penn State’s broader quantum ecosystem, C‑TEQ accelerates breakthroughs in quantum materials, computation, and information science while elevating the University’s global visibility and impact in this rapidly evolving field.