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In this paper, we propose an innovative practice based on agile software development methods. This research approach introduces agility into learning of research in an academic environment, resulting in an Agile Research Team. Such a research team follows an agile approach, based on modifications to the Scrum approach, to collaboratively learn about research, and to manage research projects and the researchers involved. Success in research requires self-motivation, collaboration, and knowledge exchange. Traditional research occurs in top-down research groups that are led by a leading researcher, who oversees postdoctoral researchers and Ph.D. students, who in turn manage graduate and undergraduate level students. It is up to individual researchers to stay motivated, to acquire the necessary skills to conduct research, and, oftentimes, to decide what the following steps are. Much like effective research groups, agile software development approaches rely on individuals to form self-organizing and motivated teams to deliver technical excellence. Agile software development teams also require an environment of sharing knowledge between senior and junior developers. Agile approaches can facilitate the efficient exchange of knowledge due to a strong dependency on face-to-face communication and teamwork. With the emerging adoption of agile methods for software development in industry and its ability to expedite projects’ delivery, we argue that such approaches can potentially provide similar benefits for researchers and students in academia. The advantages that agile methods provide are twofold: the ability to respond faster to change, and a shorter feedback loop, which facilitates the learning of how to conduct research. This paper explores the impactful benefits of using an agile approach to manage research team projects to keep researchers motivated, enhance the learning of knowledge and research skills, increase scalability, and foster inclusivity. This paper will also present the roles, responsibilities, and processes defined for managing an Agile Research Team to support adoption of the approach with other research teams. In addition, results and lessons learned are presented following our experience with using the approach as described in this work.
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Cognitive Optical Networks
Future optical networks will have 103-4 increase in rates and highly granular traffic due to large transactions. Cognitive techniques will provide agile automated fast scheduling of resources, topology changes and agile adaptations for congestion control, load balancing and reconfiguration involving all layers.
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- Award ID(s):
- 1717199
- PAR ID:
- 10067559
- Date Published:
- Journal Name:
- Conference record - IEEE International Conference on Communications
- ISSN:
- 1044-4556
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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