Deadline to Apply: November 8, 2021, 9:00 a.m.
With the support of a major gift from Eric Schmidt ’76, his wife Wendy, and the Schmidt Futures Foundation, the Center for Statistics and Machine Learning (CSML) is pleased to announce the third and final year call for proposals for the pilot fund, DataX: Data Science at Princeton. This call seeks to support research in data science and machine learning that accelerates scientific discovery across the University. Our objective is to fund transformative inter-disciplinary projects with high potential for subsequent impact on the research community.
Tenured and tenure-track Princeton faculty are invited to apply. Ideally proposals will be from teams of two or more PIs drawing on expertise from multiple disciplines. A faculty member can participate on at most two proposals.
Types of Proposals
These are highly competitive awards. Proposals seeking support for a well-formed research idea backed up by some preliminary results, but not quite ready for external funding. Up to $125,000 of funding over one year. Expenditures may include graduate student stipend and tuition, post-doctoral salary and benefits, research-related travel by graduate students or post-docs, lab supplies and fees.
An ad hoc faculty committee will evaluate the proposals on the basis of:
· Quality, originality, and potential impact (on the campus and/or the field of study)
· Feasibility of achieving project goals
· Likelihood that the project outcomes will be widely disseminated (i.e., journals, media outlets etc.).
· Likelihood that the project will lead to funding from external sources in the future
Funded proposals will be required to submit a 6-month report and a final report. Additionally, awardees agree to assist in stewardship efforts with the donors, if requested, including sharing descriptions of the research supported and its impact. A story about the project and its progress may be used on the CSML website.
Proposal Preparation and Submission Instructions
Proposals should be concise, up to two pages in length, with a separate detailed budget page and separate references (if needed). Clearly specify the research objectives and how the funds will be utilized. If relevant, letters of support from collaborating units or people can be included as an appendix.
Submit proposals online using the DataX website. Complete the form on the webpage and upload the proposal as a single pdf document.
Please submit your proposal through the DataX Proposal Submission Webform.
Questions? Contact DataX Project Manager, Ellen DiPippo ([email protected])
The Center for Statistics and Machine Learning collaborates on research and teaching that combines insights from computation, machine learning, statistics and the application of these ideas to specific application domains. To learn more, visit the CSML website at https://csml.princeton.edu/