Large-Scale Grants - Data-Driven Social Science

Large-Scale Grants - Data-Driven Social Science is sponsored by Princeton University. This program supports projects that advance data-intensive social science at Princeton by facilitating innovation in data-, computation-, and IT-intensive social science research, promoting a multidisciplinary community, or producing impactful research tools and public goods.

### Proposals requiring over $5,000 will be considered once per semester. We welcome applications from all fields in social science. We hold two calls for large proposals during the academic year (in Fall and Spring).

Faculty members, postdoctoral fellows, and graduate students are then invited to submit proposals for projects that advance data-intensive social science at Princeton.

Proposed projects should support DDSS’s mission to strengthen Princeton’s standing in the social sciences by 1) facilitating innovation in data-, computation-, and IT-intensive social science research, 2) promoting a multidisciplinary community for resource sharing and collective problem solving, or 3) producing impactful research tools and public goods.

Preference will also be given to projects that can leverage the technical and administrative resources of the DDSS. You may contact us with any questions specific to your proposal prior to submission. Priority will be given to innovative projects that: 1.

Facilitate collaboration across and within social science disciplines and fields. 2. Advance the use of pioneering research methods, computational analysis, challenging data sets, and other innovations in social science research.

3. 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.

4. Demonstrate the need for additional computing infrastructure for social science research at Princeton. Applicants are strongly encouraged to review our Frequently Asked Questions to learn more about what we do and do not fund.

Funding requests to hire a postdoctoral research associate are considered through a separate Call for Proposals for Postdoctoral Support. Proposals must include a detailed budget. For awarded grants, an impact or status report will be required within 12 months of the final disbursement of funds.

Individual Princeton faculty members, postdoctoral researchers, students, or groups comprising faculty, postdocs, and/or students may submit proposals. All student submissions and some postdoc and researcher applications (as determined by IRB PI eligibility) must include a Princeton faculty member as adviser or principal investigator.

Proposals for both levels of funding should include a brief statement of the research question and design (max. 2 pages). Particular attention should be paid to how the research activities and design align with DDSS’s mission to promote innovation in quantitative and computational social science.

An itemized budget with justification, listing other sources of funding received or pending, should be submitted on a separate page. All applicants must also include an updated CV. Materials should be submitted through our online submission form.

Any questions can be directed atddss@princeton. edu. Proposals will be accepted each fall from October 1 until October 31 and each spring from March 1 until March 31.