Author
Listed:
- Jigisha Anupama
- Margherita Francescatto
- Farzana Rahman
- Nazeefa Fatima
- Dan DeBlasio
- Avinash Kumar Shanmugam
- Venkata Satagopam
- Alberto Santos
- Pandurang Kolekar
- Magali Michaut
- Emre Guney
Abstract
Education and training are two essential ingredients for a successful career. On one hand, universities provide students a curriculum for specializing in one’s field of study, and on the other, internships complement coursework and provide invaluable training experience for a fruitful career. Consequently, undergraduates and graduates are encouraged to undertake an internship during the course of their degree. The opportunity to explore one’s research interests in the early stages of their education is important for students because it improves their skill set and gives their career a boost. In the long term, this helps to close the gap between skills and employability among students across the globe and balance the research capacity in the field of computational biology. However, training opportunities are often scarce for computational biology students, particularly for those who reside in less-privileged regions. Aimed at helping students develop research and academic skills in computational biology and alleviating the divide across countries, the Student Council of the International Society for Computational Biology introduced its Internship Program in 2009. The Internship Program is committed to providing access to computational biology training, especially for students from developing regions, and improving competencies in the field. Here, we present how the Internship Program works and the impact of the internship opportunities so far, along with the challenges associated with this program.
Suggested Citation
Jigisha Anupama & Margherita Francescatto & Farzana Rahman & Nazeefa Fatima & Dan DeBlasio & Avinash Kumar Shanmugam & Venkata Satagopam & Alberto Santos & Pandurang Kolekar & Magali Michaut & Emre Gu, 2018.
"The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide,"
PLOS Computational Biology, Public Library of Science, vol. 14(1), pages 1-12, January.
Handle:
RePEc:plo:pcbi00:1005802
DOI: 10.1371/journal.pcbi.1005802
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pcbi00:1005802. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ploscompbiol (email available below). General contact details of provider: https://journals.plos.org/ploscompbiol/ .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.