The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide

Jigisha Anupama*, Margherita Francescatto, Farzana Rahman, Nazeefa Fatima, Dan Deblasio, Avinash Kumar Shanmugam, Venkata Satagopam, Alberto Santos, Pandurang Kolekar, Magali Michaut, Emre Guney

*Awdur cyfatebol y gwaith hwn

    Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

    27 Wedi eu Llwytho i Lawr (Pure)

    Crynodeb

    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.

    Iaith wreiddiolSaesneg
    Rhif yr erthygle1005802
    CyfnodolynPLoS Computational Biology
    Cyfrol14
    Rhif cyhoeddi1
    Dynodwyr Gwrthrych Digidol (DOIs)
    StatwsCyhoeddwyd - 1 Ion 2018

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