Project Details
Description
PROJECT SUMMARY (See instructions):
The long-term goal of this project is to increase the numbers of underrepresented minoritystudents who obtain
their doctorate and pursue research careers in the biomedicalsciences. The basic strategy is to continueto
develop and maintainpartnerships with schools that have large numbers of underrepresented students, to
recruit and select highly qualified students, to provide them with qualitylaboratory experiences andchallenging
courses duringtheir undergraduate years, to provide them with Financial and academicsupport services that
maximize their potential for success, and to provide them with the qualifications and references so they may
compete for entry into the strongest graduate programs in the country.
The objectives of the MARC program are:1) to attract underrepresented students to biomedicaldisciplinesand
courses ofstudy at Stony Brook; 2) to identify underrepresented students at Stony Brookwith an interest and
potential in pursuingresearch careers in the biomedicalsciences and related fields early in their academic
tenure; 3) to motivate underrepresented studentsto obtain degreesin biomedical sciences and related fields; 4)
to help students gain confidencein their abilities by early exposure to laboratory experiences, research, public
speaking and biomedicalresearchers; 5) to create a positive environmentthrough the use ofgroup activities,
mentoring and advising;6) to promote an awareness ofthe opportunities available in biomedical research
through peer, graduate student and faculty mentoring,as well as research experiences at other institutions; and
7) to create a national model for outreach and undergraduate education at Stony Brookthat will ensure a diverse
and highly-trained biomedicalresearch workforce for the future.
| Status | Finished |
|---|---|
| Effective start/end date | 06/1/13 → 05/31/15 |
Funding
- National Institute of General Medical Sciences: $345,528.60
Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.