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Data Science Initiative Competitive Research Fund 2017
Begin Accepting Applications Date:
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Harvard Data Science Initiative
The Data Science Initiative Competitive Research Fund is a targeted program that will provide funding in the following categories:
to encourage faculty to pursue exciting new research directions in Data Science that might not yet be ready to compete in traditional funding programs.
to allow faculty to continue work on previously funded research in the area of Data Science that does not currently have external funding. Faculty who apply in this category should demonstrate that efforts have been made or will be made to obtain new external funding.
Please apply only if your funding needs fit into one of these categories. Project budgets of $5,000-$50,000 may be requested for 1 year, though it should be noted that funded awards may receive below the award ceiling.
Proposals will be read and evaluated by a committee made up of faculty with interdisciplinary expertise in Data Science, so please ensure that your proposal makes sense to someone outside of your discipline.
Applicants will be asked to provide the following:
1. Contact information.
2. Project description that is accessible to non-specialists (
limit two pages
). The project description should include:
? The question or problem, and why it is important.
? The approach to be taken.
? The potential impact of the proposed work.
3. One paragraph explaining why this funding source is essential to the launch or success of the proposed project. Please include an explanation of how this would provide either bridge funding or seed funding.
4. Abridged CV or biosketch (
limit two pages
5. List of all current or pending external sources of grant support, and information on any external funding you have applied for or intend to apply for to support the proposed project.
6. Budget and budget justification (limit one page). Budgets should provide enough information to convey the alignment of costs with the project. Faculty are encouraged to work closely with their grant administrators when including personnel and fringe benefits.
7. Description of the availability of data and/or resources, if appropriate.
Examples of eligible expenses include but are not limited to:
? Personnel such as postdocs, research staff, graduate students, undergraduate students
? Domestic and international travel
? Training to acquire a new skill or area of expertise that will enable the proposed project
The following expenses are NOT eligible for funding:
? Faculty salary
? Graduate student tuition
? Educational/course use
? Subcontracts outside Harvard
This program is open to individuals who hold a faculty appointment at a Harvard school and who have principal investigator rights at that school. (Harvard Medical School faculty must hold a faculty appointment with PI rights in one of HMS’s basic or social science departments). Applications from junior faculty, and those that involve collaborations among departments or schools, are encouraged.
Faculty may only submit one application in each funding cycle. We anticipate one funding cycle each semester.
Successful applicants will be expected to give a short presentation of the funded project at a symposium at the end of the grant year, and where code is developed to release this in a public GitHub repository.
The two co-directors (Francesca Dominici and David Parkes) have appointed a small committee of faculty to review the submitted applications and make awards. The committee membership is as follows:
Rebecca Betensky, Biostatistics, HSPH (co-chair)
Karim Lakhani, Technology and Operations Management, HBS
Rick McCullough, Vice Provost for Research (ex offico)
Brendan Meade, Earth and Planetary Sciences, FAS (co-chair)
Michael Mitzenmacher, Computer Science, SEAS
Natesh Pillai, Statistics, FAS
Sharad Ramanathan, Molecular and Cellular Biology, FAS
Chris Winship, Sociology, FAS
Alan Zaslavsky, Health Care Policy, HMS
The committee will evaluate applications based on the following application guidelines:
- Grants will support novel methods, innovations, or solutions to Data Science challenges. Proposals that apply existing data analytic approaches
innovation will not be considered competitive.
- Project goals should emphasize not just academic contributions—e.g., papers published, new collaborations, additional grant monies received, and so forth—but also measurable impact in the field.
For the current application cycle, the committee will meet in
to decide among the applications submitted. Before the final awards are announced, the co-directors will meet with the committee co-chairs to review the funding recommendations. With a budget for this cycle of $250,000, the committee will make awards to
only the most promising of the applications
, and will stay within the budget of the Fund. Awardees will be notified of funding decisions in late April with fund disbursal in early May.
Additional Information and Related Websites:
If you have questions about the DSI Competitive Research Fund, please contact Liz Langdon-Gray,
or visit datascience.harvard.edu.
For questions about this application, please contact Elizabeth Langdon-Gray at
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