In the era of AI, ensuring software reproducibility for data processing and machine learning workflows is more critical than ever, particularly in computationally intensive fields like bioinformatics. Reproducibility guarantees consistent outputs across different environments, which is essential for validating research findings and disseminating workflows widely. However, the complexity of...
Academics are under considerable pressure when it comes to managing their visibility and reputation as their careers develop. Similar to non-academic work, their competition to coexist is shaped by the unique incentive structures of their work environment. In this talk, I will argue for the importance of envisioning reproducibility and its “crisis” in the context of an academic system that...
