DDSS Fall 2021 Call for Proposals and Online Submission Now Open

Oct. 11, 2021

Princeton’s Data-Driven Social Science Initiative welcomes applications for our funding in support of innovation across the social sciences. Faculty members, postdoctoral fellows, and graduate students are invited to submit proposals for projects that will result in the advancement of data-intensive social science at Princeton.

All funded projects will be provided with additional administrative, project management, and analytic/technical support by the Data-Driven Social Science Initiative. Preference will be paid to the proposed projects that can best leverage these resources.

Levels/Types of Funding:

  1. Small-scale grants (up to $5,000): We encourage applications for funding to support the development of new project ideas, working groups, data sets, data management/wrangling for existing projects, research infrastructure, and seminars/conferences. There is no deadline for proposals under $5,000. Applications are accepted on a rolling basis during the academic year (October-May) and funding decisions will be made at the end of each month.
  2. Large-scale grants (over $5,000): Proposals requiring over $5,000 will be considered twice per year. A faculty committee will review initial applications and invite select proposals to submit additional information. For consideration in this round, please submit initial applications by November 1, 2021. Our next round of large grant funding will be in March 2022. We encourage proposals from teams representing multiple Princeton departments.

We encourage you to contact us with questions about what can (or cannot) be included in the proposals.

Priority will be given to projects that:

  • Facilitate collaboration across and within social science disciplines and fields.
  • Advance the use of pioneering research methods, computational analysis, challenging data sets, and other innovations in social science research.
  • Impact the larger social science community and beyond. Outputs may include sharable data sets, training for students, or findings/methods that can be communicated to a diverse campus audience.
  • Demonstrate the need for additional computing infrastructure for social science research at Princeton.

An impact or status report will be required within 12 months of the final disbursement of funds.

Eligible Applicants: Individual Princeton faculty members, postdoctoral researchers, students, or groups comprised of faculty, postdocs, and/or students may submit proposals. All student submissions must include a Princeton faculty member as principal investigator or adviser

How to Apply: Applications should be submitted online through, where applicants can find further information. Additional questions can be directed to [email protected].

Data-Driven Social Science Initiative: Our mission is to 1) enhance the support of data-, computation-, and IT-intensive social science research at Princeton, 2) build a multidisciplinary community of faculty, graduate and postdoctoral users of such tools to foster both resource sharing and collective problem solving, and 3) encourage innovation in data- and computation-intensive social science research so that Princeton might strengthen its leadership in this area.