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The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide
Jigisha Anupama1, Margherita Francescatto2, Farzana Rahman3
1University College Dublin, Dublin, Ireland.
The International Society for Computational Biology Internship Program provides essential training for students in computational biology, especially those from developing regions. This initiative aims to enhance skills, boost careers, and bridge the global skills gap in the field.
Area of Science:
- Computational Biology
- Bioinformatics Training
- Scientific Education
Background:
- Internships are crucial for career development, complementing academic coursework with practical experience.
- Students benefit from early research exposure, enhancing skills and career prospects.
- A significant gap exists in computational biology training opportunities, particularly for students in underserved regions.
Purpose of the Study:
- To describe the International Society for Computational Biology's Internship Program, established in 2009.
- To highlight the program's commitment to providing computational biology training, especially for students from developing regions.
- To assess the program's impact on student skills, career advancement, and global research capacity.
Main Methods:
- The International Society for Computational Biology Student Council initiated an internship program.
- The program focuses on providing access to computational biology training and research opportunities.
- The program aims to address disparities in training access across different regions.
Main Results:
- The program has provided valuable training experiences for students in computational biology.
- Internship opportunities have contributed to skill development and career enhancement.
- The initiative has begun to address the scarcity of training in less-privileged regions.
Conclusions:
- The International Society for Computational Biology Internship Program is vital for developing research and academic skills.
- The program plays a key role in alleviating the divide in computational biology training access globally.
- Continued efforts are needed to overcome challenges and expand the program's reach and impact.
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