The Center for Digital Humanities (CDH) is an interdisciplinary research center that brings together researchers, students, teachers and software developers to engage in technical and scholarly innovation. The CDH helps foster a vibrant digital humanities community among Princeton’s graduate students. We train graduate students in innovative computational analysis, research, and project management skills, and offer opportunities for scholarly and professional growth. Fellowship and funding opportunities are available.

The CST is comprised of dedicated faculty and staff who work to advance STEM literacy across Princeton University and beyond through rigorous course development, creative interdisciplinary programming, and robust educational research.  By developing strong collaborations across disciplines, the CST seeks to ensure that all members of the Princeton University community, regardless of their background, experience, or discipline, can engage with, appreciate, and apply science in their everyday lives, in their careers, and in society. 

The Data Driven Social Science Initiative was established at Princeton University in 2018 with the aim of developing and sharing new methods for quantitative and computational social science. Our goal is to build a community of researchers who share a collective body of knowledge on analytic techniques, novel sources of data, paths for building partnerships with outside organizations, and procedures for safeguarding privacy and maintaining the highest possible standards for data security. We offer two types of funding for innovative quantitative research, depending on the scope and technical requirements of the project. We invite large-scale grant proposals twice a year. Small-scale grant applications are considered on a rolling basis.

OIT is committed to technology support and innovation that enables Princeton to achieve its mission: to advance learning through scholarship, research, and teaching of unsurpassed quality. Undergraduate and graduate students are invited to apply to OIT's Summer Internship program. With eight major departments, we offer students the opportunity to explore and gain professional experience in a variety of technical and administrative roles. 

From the advancement of mathematical theory and sociological understanding to the development of cleaner-burning fuels and novel electronic devices, research at Princeton aims to advance the frontiers of human knowledge and improve societal well-being. The Dean for Research and the offices that report to the Dean are deeply committed to supporting the University's research community and enabling Princeton's scholars to do their best work. 

Princeton Innovation is a campus-wide initiative that aims to benefit humanity through innovation and entrepreneurship. Our faculty, staff researchers, students and alums combine the pursuit of curiosity-driven knowledge with the desire to solve the major challenges of our time. Princeton Innovation nurtures this enterprising spirit through our programs, spaces and relationships. We support the Princeton community in their innovation and entrepreneurial goals as they translate their discoveries and inventions into technologies and services that have a positive impact on society. Programs for graduate students include: teaching, coaching and education; entrepreneurship and venture assistance; funding and recognition; and assistance with patents and tech transfer.

PICSciE is an interdisciplinary institute designed to bring together faculty and researchers from diverse backgrounds leveraging their broad expertise to address new and relevant computational problems and thereby contribute to the body of scientific knowledge. PICSciE provides state-of-the-art computing and visualization facilities in collaboration with the Office of Information Technology’s Research Computing, academic departments, and institutional partners. Above all, PICSciE hopes to be of service to the faculty, postdoctoral fellows, and students doing computational research on campus.

Computational modeling and analysis has firmly established itself as the third pillar of scientific research, while at the same time the humanities and social sciences have been relying increasingly on information technology to carry out research. Princeton has positioned itself well to excel in this new era, building a centralized infrastructure to support the faculty and researchers with their increasing computational and digital data needs. Princeton Research Computing is a collaborative effort led by the Princeton Institute for Computational Science and  Engineering (PICSciE) and the Office of Information Technology (OIT) Research Computing, in partnership with academic departments.

Princeton Research Data Service (PRDS) provides Princeton’s diverse research community with expert services and infrastructure to store, manage, retain, and curate digital research data, and to make their digital research data available to the broader network of academic researchers, as well as the general public. We provide consultations, training, and data curation services to researchers throughout the life cycle of research projects, working with them to make the process of data management and storage as seamless as possible with their current research practices.

Princeton Research Day (PRD) is a celebratory event for undergraduates, graduate students, postdoctoral researchers, and other early career scholars to present their work to the campus community and beyond. Held annually, the event’s program includes research from all four divisions and features scholarship, research and creative works. Presenters communicate the broader impacts of their work to a general audience. The Mainstage event highlights selected presentations and brings together in-person and virtual attendees to celebrate research achievements.