Princeton Research Computing is a consortium of campus groups dedicated to providing computing resources to the Princeton University community led by the Princeton Institute for Computational Science and Engineering (PICSciE) and the Office of Information Technology (OIT) Research Computing. Together we provide a central hub on campus for cutting-edge computational and data science infrastructure and support, including HPC hardware, software, system administration, cloud computing, training and education, research software engineering, programming, and visualization.

The Center for Digital Humanities (CDH) is an interdisciplinary research center devoted to building knowledge infrastructures for the use of digital evidence, fostering communities of practice across disciplines and professions, and modeling critical approaches to the role of data and technology in research and daily life. Our team consists of developers, designers, scholars, writers, and teachers.

The CDH conducts consultations on digital research methods and offers various funding opportunities throughout the academic year. We are especially interested in hearing from researchers interested in machine learning in the humanities, library collections as data, or public humanities and community partnerships.

The Center for Statistics and Machine Learning (CSML) fosters and supports a community of scholars addressing the challenges of modern algorithmic data-driven research, the development of innovative methodologies for extracting information from data across different domains, and the education of students in the foundations of data science.

The center fulfills this via support of research and teaching that harnesses insights from computation, machine learning, and statistics, to advance both theoretical foundations and scientific discovery. The center offers courses, graduate and undergraduate certificate programs, and special initiatives for students. The center also co-sponsors seminars that enhance researchers’ knowledge base and workshops that deepen the use and reach of data science on campus. The center supports a research software engineer to help multiple research projects across all divisions of the university. With a generous gift, CSML also supports research seed grants, workshops, and educational support under the DataX initiative. Undergirding all these efforts is the center’s open collaborative, interdisciplinary nature. We work with students, faculty, researchers, departments, centers, and others on and off-campus.

The Initiative for Data-Driven Social Science (DDSS) was launched in 2019 to enhance support of data-, computation-, and IT-intensive social science research at Princeton. Our goal is to build a multidisciplinary community of faculty, graduate and postdoctoral fellows to foster both resource sharing and collective problem solving. Our initiative works with partners across the University to encourage innovation and better position Princeton as a leader in data-driven social science inquiry.

DDSS offers funding opportunities for research, infrastructure building, and data collection/wrangling, and our team provides technical, analytic, and administrative support to help facilitate the use of ‘big data’ in academic research, with a particular focus on the social sciences.

The Research Software Engineering (RSE) group sits within the Research Computing Department in OIT. Our mission is to help researchers associated with our partner organizations create the most efficient, scalable, and sustainable research codes possible in order to enable new scientific advances. We do this by working as an integral part of traditional academic research groups, providing leadership in the design and construction of complex and highly customized software systems. We can support sophisticated data science and computational research projects in a variety of domains.

We provide our partner groups with domain-specific algorithms and solution techniques; optimization and performance tuning; and insights and guidance with current and future software development tools, programming languages, and high-performance computing hardware.

Our group is committed to creating a collaborative environment in which best software engineering practices are valued, and to sharing and applying cross-disciplinary computational techniques to new and emerging areas.

The Center for Information Technology Policy (CITP) is an interdisciplinary center at Princeton University. The Center is a nexus of expertise in technology, engineering, public policy, and the social sciences on campus. The Center’s research, teaching and events address digital technologies as they interact with society. It produces both leading research and practical demonstrations of issues at the crossroads of technology and policy.

CITP brings in a diverse community of researchers, visiting faculty and practitioners through its fellows program each year. CITP also serves students on campus in many ways, including offering an undergraduate certificate program, funding for internship programs and other student oriented events and funding opportunities. In addition to this, CITP runs a technology policy clinic that aims to stimulate cutting-edge research at CITP and engage students and scholars in pragmatic policy discussions concerning emerging digital technologies.

Digital Scholarship Services (DiScho) supports and collaborates with Princeton University researchers navigating digital skills, tools, and methods needed to create digital scholarship projects. Whether you’re beginning to think about a project idea or have hit a roadblock for a project already underway, DiScho can help you select tools, gain skill sets, and plan the full lifecycle for your digital project from conception to publication.