Fund Details
Quantitative and Statistical Thinking in the Life Sciences, Burroughs Wellcome Fund, 2018
Total Amount Available from Sponsor for All Awards
$600,000
Award Duration
Up to two years
Maximum Award Amount
$150,000
Sponsor Name
Burroughs Wellcome Fund
Nominations Available to Institution
1
Sponsor Deadline
4/25/2018

Brief Description:

The Burroughs Wellcome Fund announces a one-time award program providing support for faculty time spent on developing improved approaches to training graduate students for a more quantitative and statistically-informed approach to thinking and a more model-driven approach to doing research in the biomedical and related life sciences.

Harvard University, including affiliated hospitals, centers, or other associated institutes, may participate in one submission to this opportunity.

The Office of the Vice Provost for Research is facilitating an internal application process to select proposal for submission.

Description:

The Burroughs Wellcome Fund announces a one-time award program providing support for faculty time spent on developing improved approaches to training graduate students for a more quantitative and statistically-informed approach to thinking and a more model-driven approach to doing research in the biomedical and related life sciences.

Harvard University, including affiliated hospitals, centers, or other associated institutes, may participate in one submission to this opportunity.

The Office of the Vice Provost for Research is facilitating an internal application process to select proposal for submission to this opportunity.

Application Information:

Interested applicants are asked to submit the following (this information will be repeated within each applicant's electronic dashboard)

  • NIH biosketch of the PI and other key personnel as applicable. Five page limit per biosketch
  • Answer the following five questions. Maximum four pages, 11 or 12 point font only
  1. What do you hope to achieve by developing a more quantitative graduate training experience?
  2. How is the graduate education you hope to develop different from typical biomedical training?
  3. What obstacles currently keep you from offering this type of education?
  4. Why is this institution a particularly good place to invest this award?
  5. What about the primary faculty involved makes them the right people in whom to invest this award?
  • Budget- Please provide a short narrative budget of no more than two (2) paragraphs
  • Letter of support-A letter from the Director of Graduate Studies in the PI's relevant department. This letter should explain how the work proposed fits into their long-term vision of graduate education, and details the institution's own efforts to date in bringing more quantitative thinking into the life sciences. 

Eligibility Criteria:

  • Eligible applicants must be Faculty at the Assistant, Associate, or Professor level

Additional Information, Related Websites, and Proxy Instructions:

Applicants with questions about this opportunity are asked to contact the Research Administration office at the institution where they hold a primary appointment. For a list of contacts by University schools, please click here

Additional information is also available here

Contact Information:

For questions about this application, please contact Jennifer Chow at jennifer_chow@harvard.edu

Search Filters:
Institution
  • Harvard Business School
  • Harvard Divinity School
  • Faculty of Arts and Sciences
  • Graduate School of Design
  • Graduate School of Education
  • Harvard John A. Paulson School of Engineering and Applied Sciences
  • Harvard T. H. Chan School of Public Health
  • Harvard Kennedy School
  • Harvard Law School
  • Harvard Medical School (Quad)
  • Harvard School of Dental Medicine (HSDM)
    Position
    • Faculty/Assistant Professor
    • Associate Professor
    • Professor/ Senior Faculty
      Type of Competition
      • Limited Submission
        Discipline
        • Basic Science
        • Clinical Science
        • Engineering
        • Life Science
        • Multidisciplinary
          Type of Award
          • Research
          • STEM Education