Your Research Code Works.. Until It Doesn’t: Rethinking Reproducibility @PyConAU
Your Research Code Works.. Until It Doesn’t: Rethinking Reproducibility  @PyConAU
Uploaded August 2026 | Updated September 2026, 5 hours ago
(Zara Hassan) _You’ve shared your code. You’ve shared your data.…so why can’t anyone reproduce your results?_

In real-world research projects, reproducibility often breaks in subtle ways, missing dependencies, unclear workflows, undocumented steps, or environments that no longer work. These issues don’t appear all at once; they emerge gradually as research evolves. In this talk, I introduce the idea of Reproducibility Debt as a way to understand how these issues accumulate over time. Importantly, this debt is not simply the result of poor practice, it reflects real-world constraints such as time pressure, experimentation, and shifting project goals. While reproducibility is often framed as a technical problem, solved through tools like Docker, Conda, or better documentation, it is in reality a multi-faceted challenge shaped by the interaction between technical, organisational, and human factors. Rather than focusing on technical fixes alone, this talk takes a socio-technical perspective: how decisions, trade-offs, and team practices influence reproducibility outcomes. I will show how reproducibility can be approached as something to understand, assess, and manage throughout a project, rather than something to fix at the end.

The talk introduces a lightweight way of identifying and tracking reproducibility risks based on a structured view of common contributing factors. If you have ever struggled to rerun your own code, or someone else’s, this talk offers a different way to think about why, and what to do about it.

https://2026.pycon.org.au/schedule/ZPGW8C/

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Sat Aug 29 10:45:00 2026 AEST (UTC+10) at Ballroom 2
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Your Research Code Works.. Until It Doesn’t: Rethinking Reproducibility

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