Seed Grants For Data Science

About The Seed Grants For Data Science

At the core of the School of Data Science lies an interdisciplinary nature for research and real-world applications. As a result, the seed grants for data science funding opportunity was established to support cross-disciplinary research projects, with the hope of fueling the collaborative spirit that already exists within the field of data science.

This initiative awards more than $120,000 annually to UNC Charlotte and partnering faculty and researchers.

SUMMER SEED GRANTS: SUMMER 2024
SUBMISSION DEADLINE: 10PM EST ON MARCH 1, 2024

SDS Mission Statement

We commit to excellence in education, research, community engagement, and inclusion to shape and lead the future of data science education and practice. We will teach our students to be responsible and ethical data science practitioners, leaders, researchers, and innovators in an increasingly data-driven and global society.

The School of Data Science (SDS) is dedicated to fostering interdisciplinary research and practical applications in the field. Each January, SDS invites research proposals for its annual Seed Grant competition. This initiative aims to support interdisciplinary projects and encourage collaboration within data science.

The SDS Seed Grant program offers up to $15,000 per award to faculty and researchers from UNC Charlotte and its partners, with a total of $100,000 available in this funding cycle. SDS is focused on backing early-stage, transformative research that has the potential to attract larger external grants in the future.

Eligibility:

  • proposals must come from teams primarily consisting of UNC Charlotte researchers
  • Teams must be multidisciplinary, involving members from at least two different colleges
  • At least one of the principal or co-principal investigators must hold an affiliate or core faculty appointment with SDS 

While external collaborators are allowed, the primary goal is to support research team formation within UNC Charlotte..

More INFO on SEED GRANTS

Scope and Evaluation:
  • Up to a maximum of $20,000 budget per proposal; proposals of less than the maximum are encouraged (e.g., $10k)
  • Proposals must be submitted electronically by 10pm EST, March 1, 2024;
  • The research committee of the SDS will evaluate the submitted proposals and select the best proposals for funding;
  • Awardees will be announced by April 1, 2024;
  • Initial Funding Disbursed to a PI’s home department: by May 1, 2024; The PI’s home department is responsible for receiving and managing funds.
  • For summer grants, funding is required to be spent by September 30, 2024.
  • Funds are allocated for a 4-month period maximum and a request for external funding is expected to be submitted before the end of year 2024. 
  • The SDS reserves the right to adjust the award amount to reflect funds availability, quality of a proposal, the number of quality proposals submitted, and other funding restrictions.
Restrictions:
  • Projects already externally funded or for which an external proposal is currently under review are not eligible.
  • Projects that have already received internal funding or are under the consideration for internal funding by other departments or colleges on the campus are not eligible.
  • A researcher cannot be a recipient of more than one SDS research grant per academic year.
  • Continuation of an ongoing research project by the same or similar group of researchers will not be supported.
  • In general, requests for additional funding of an existing seed grant will not be considered.
  • Expenditures that are not allowed:
  • Expenditures generally made by departments and colleges (e.g., office supplies, travel to professional conferences, etc.)
  • Delivery of outreach programs or services
  • Requests for funds for meals and snacks 
  • Publication charges
Criteria for Proposal Review:
  1. Intellectual merits
  • Novel and transformative ideas that involve cross-college or interdisciplinary collaboration around data science;
  • Quality and coherence of the research design and detailed plan of activities;
  1. Broad impact of the proposed research, including impact on our communities (especially the Charlotte region)
  2. Potential for external grant funding
  • Projects’ potential for leading to grant proposals that are more likely to be externally funded;
  • Identified target funding agencies, programs, and dates for follow-on external funding application(s); and
  • Funding agencies or organizations of national or international significance will be given priority over regional ones. 
  1. Qualification of the project team
  • All faculty eligible for UNC Charlotte Faculty Research Grants are eligible for this award; 
  • Teams with at least a PI/Co-PI affiliated with SDS;
  • All faculty involved in the project must be listed as PIs, co-PIs, or consultants; and
  • To foster interdisciplinary research collaboration, faculty members on a proposal must come from at least two different colleges.
  1. The results of previous projects funded by SDS seed grants (e.g., publications, grant proposals submitted and awarded, project reports)
  2. Projects that best fit the research priorities of SDS
Structure and Submission of Proposals:

Proposals (including the budget) should be named by the first and last names of the leading PI on a proposal (e.g., First name_last name_seed2024.pdf) and must be submitted as one single PDF file by email to Dr. Dongsong Zhang (Director of Research, SDS. Email: dzhang15@charlotte.edu). Please include “Seed Grants for Data Science” in the subject line. To complete your proposal submission, please follow the instructions provided below.

The proposal must be clear, readily legible, and conform to the following requirements: 

  • Font size of 12 points  
  • Single-line spacing
  • 1-inch margin on each side

To be considered for funding, the following must be included in your submission:

Cover Page

Cover page (one page) contains the project title, 3-5 descriptive keywords, PI and collaborator(s) name, affiliation, and contact information, total funds requested, projected start and end dates, indication of whether this proposal has been submitted to the seed grant program before. 

Project summary

Project summary (one page): provide a one-page summary of the proposed work by following the NSF project summary guidelines listed below. The project summary should consist of three main sections:

  • An overview includes a description of the activity that would result if the proposal were funded and a statement of objectives and methods to be employed. 
  • Intellectual merit of the proposed activity: should describe the potential of the proposed activity to advance knowledge and the contribution the proposed research will make to the related field and others.
  • Broader impacts: should describe the potential of the proposed activity to benefit society and contribute to the achievement of specific, desired societal outcomes. For example, what are possible applications of your proposed research? Why would the general public care? Does it have any economic, environmental, and social benefits? What is the potential for disparate impacts of this research? How will you manage? Etc.
Project description

Project description (not to exceed 4 pages) The project description should address the following points:

  • Purpose and Significance: Provide a clear and concise explanation of (i) the target research problem of this funding request and its significance; (ii) the research goals/questions and the proposed research activities for which the funding is requested; (iii) how these activities will enhance your ability to apply for external funding as a larger project; and (iv) what data will be collected from the project, if any.
  • Overall Project Description: (i) the proposed research design and methodology, (ii) expected outcome of the project; (iii) work plan and timeline of the proposed research.
  • Research Team: Describe the qualifications, roles, and responsibilities of all research project team members, and what value collaboration adds to the project.
  • Plan for External Funding Application: Identify proposed/target channels and dates for follow-on external funding application(s).
A two-page bio of each major participant, which includes:
  • Education, including the dates when degrees were awarded;
  • Current employment status;
  • Five most relevant publications (to the current project);
  • Most relevant experience (including but not limited to software programs, methods known, and training)
Budget and Justification

Budget and justification: Provide itemized budget and budget justification required by the project. All of the items listed must be reasonable, necessary to accomplish project objectives, allowable in terms of the applicable federal cost principles, auditable, and incurred during the grant period. Charges to the project for items such as RAs, travel, contractual services, salaries, and fringe benefits must conform to the written policies and established practices of the University. Acceptable budget items include graduate RA support (At least $5,000 budget; required), dataset purchase expense, human subject compensation, software, small pilot studies, and faculty summer salary, etc. that are directly related to carrying out the proposed research. The cost of project activities to be undertaken by a third-party contractor should be included in this category as a single line item charge. A complete itemization of the cost comprising the charge should be provided in an attachment. If there is more than one contractor, each must be budgeted separately on the form and must have an attached itemization. Please note that fringe benefits do not apply to SDS seed grant.

Data

Data: What data will be collected and/or generated during the proposed study? Are you willing to share them with the school (Encouraged but not mandatory)?

The awardees are highly encouraged to share data (after de-identification of users) collected from the awarded projects with SDS, if possible, which will be incorporated into a secured data repository for potential future use for research or teaching by other SDS faculty. Benefits of sharing your data may include, but not limited to, the following:

  • Extending the value, discoverability, and impact of your data by hosting it in a secured repository.
  • Making your data/research projects citable.
  • Facilitating scientific advancement and reproducible research by enabling other researchers to build upon your work.
  • Ensuring long-term preservation and accessibility of your data through the repository’s archival curation. 

The requests from UNC Charlotte faculty for access to any archived dataset will be reviewed and approved by the PI or co-PIs of the awarded project who created the original dataset(s) or by SDS upon agreement.

Prior internal funding 
  • Current and prior (the past 3 years) external funding support: What are the current externally funded projects of PIs and their focus? 
  • Have any PIs on this proposal received any prior seed grants from SDS in the past 3 years? If so, please list the prior SDS seed grants received by any PI/Co-PIs of this proposal, including the project title, term/year funded, and results, which include, but not limited to, and the external grant proposals resulted from the projects supported by prior SDS seed grants.
  • Has the current proposed work been funded by any other internal or external funding sources?
Bibliography (No more than 20)

Project Reports and Credit

Investigators are expected to provide 1) a brief (2~3 pages) project report and 2) a poster that summarizes this project (including motivation, research model and hypotheses, research method, and results) within one week after the ending date of the project term, including, but not limited to, the research activities conducted and the degree to which the project goals have been achieved. The report should be sent to dzhang15@charlotte.edu. Please acknowledge the support of the SDS seed grant(s) in the published papers resulting from the awarded projects. Failure to submit the project report by the deadline may result in the ineligibility of PI/Co-PIs for applying for future SDS seed grants. An update of this report should be submitted when a related grant proposal is successfully submitted for external funding in the future.

External funding must be sought for the “overall project” for which seed funding was requested within the indicated time frame. It is expected that PIs will credit the SDS at the time of submission and approval of the proposal through Niner Research. 

Should you have any questions about this seed funding opportunity, please contact Dongsong Zhang at dzhang15@charlotte.edu.

Seed Grant For Data Science Awardees List