SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/15
More Articles in this Issue
- Vignette‐ Nicholas J. Rowland and Matthew J. Spaniol
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/3/3/6 - Vignette‐ Elizabeth A. Majka, Stacey L. Raimondi, and Merrilee F. Guenther
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/9 - Vignette‐ Amanda Wong and Michael Guidry
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/8 - Vignette‐ Caitlin M. McMahon, Kimberly A. Choquette, S. Chantal E. Stieber, and Erin E. Gray
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/6 - Vignette‐ Christopher Fuse, Ashley Cannaday, and Whitney Coyle
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/13 - Vignette‐ Karen Yokley and Nicholas Luke
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/11 - Vignette‐ Sophie Pierszalowski, Greg Heinonen, Bethany Ulman, and Daniel López-Cevallos
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/10 - Assessment‐ Emily Lin, Katherine C. V. Walters, Amy Schmidt-Morris, Hayriye Nilgun Guvener Demirag, Yong Wang, and José Oberholzer
SPUR (2020) 4 (1): https://doi.org/10.18833/spur/4/1/4 Abstract:Diabetes is one of the largest global epidemics, necessitating training for a new generation of scientists and physicians to work on the disease. Undergraduate research experiences can build an educational pipeline for talent in these professions. A NIH-sponsored summer diabetes research internship at the University of Virginia provided undergraduates with opportunities to engage in basic sciences/clinically focused projects mentored by faculty, in areas such as diabetes-related epidemiology, genetics, complications, cell therapy, bioengineering, and artificial pancreas. Lectures, laboratory skills workshops, clinical shadowing, professional development seminars, and a journal club supplemented the intern experience. The post-program survey indicated high satisfaction. Future activities will focus on expanded publicity and recruitment, as well as identification of faculty mentors who can serve as role models for underrepresented individuals in the sciences.