We’re all set up at useR! 2025!
Penn Pavilion, Duke University, Durham, NC
August 8–10

The Digital Research Academy booth is ready to welcome you — and yes, the pins and swag are looking fantastic!

If you’re at #useR2025, we’d love to meet you — whether you’re a trainer, researcher, or just curious about better, fairer science.

Find us, say hi, and let’s chat!

Why I'm Leaving NixOS After a Year? | rugu

｢ I understand the benefits of reproducibility and so on, but when I think about how much I’ve gained from that reproducibility compared to my old dotfiles setup, I realize that I did NOT see any real benefits in practice. I am just sure that configuring and making stuff run the Nix way just takes way more time than just using a regular FHS distro ｣

https://www.rugu.dev/en/blog/leaving-nixos/

ReproZip：簡化科學實驗的可重現性打包工具
➤ 讓計算科學實驗重現變得輕而易舉
✤ https://github.com/VIDA-NYU/reprozip
ReproZip 是一款旨在簡化科學實驗可重現性打包過程的工具，特別是針對命令列執行。它能追蹤作業系統呼叫，打包執行實驗所需的二進位檔、檔案及依賴項，讓其他人得以在自己的環境中重現實驗結果。該工具支援 Linux 環境的打包，並可透過建立虛擬機器或 Docker 容器來實現跨平臺（Windows, Mac OS X）的重現。
+ 這工具真是太棒了！解決了我在分享研究成果時，合作夥伴總是遇到環境設定問題的困擾。
+ 雖然一開始學習曲線有點陡峭，但理解了打包和解壓縮的邏輯後，真的能大幅提升研究的可信度和重複性。
#Reproducibility #Scientific Computing #Command-line #Packaging #Experiment Reproducibility

Our latest piece on the reproducibility crisis. If we want to be serious, we will need to perform actual research to establish whether there is one and if there is, how big the problem actually is. Only with this knowledge, we can design effective measures and monitor their success. #reproducibility #ReproducibilityCrisis #academia #research #LifeSciences

https://www.tandfonline.com/doi/full/10.1080/02698595.2025.2538937

Embedding #reproducibility: our annual symposium will focus on how reproducibility guidelines can be implemented in daily #scientific practice.

Save the date: 19 January 2026, Poortgebouw Leiden

We invited two keynote speakers and several workshop hosts. Stay tuned for program updates and the registration link!

We will also share a call for #posters and #pitches.

Just published our new work on federated random forests for privacy-preserving machine learning!
“A Federated Random Forest Solution for Secure Distributed Machine Learning”
IEEE: https://doi.org/10.1109/CBMS65348.2025.00159

Supplementary slides:
https://doi.org/10.5281/zenodo.16539345

We're advancing secure AI without sharing data. Feedback & collaborations welcome!
#FederatedLearning #PrivacyPreservingAI #MachineLearning #OpenScience #IEEE #DataScience #Zenodo #ResearchSoftware #Reproducibility

CUDA compatibility issues represent broader challenge of dependency management in community-maintained scientific computing environments.

Proprietary development creates vendor lock-in and compatibility fragmentation.
Open standards enable reproducible research and collaborative development.

A surprising Reddit finding: Many MLOps practitioners lack understanding of core reproducibility tools like `setup.py` and `tox.ini`.

This impacts model reliability in production! What are your thoughts on bridging this crucial skills gap in the MLOps community?

#TheLoomingMlops #MLOps #Reproducibility #SkillsGap #AI

https://dougortiz.blogspot.com/2025/07/the-mlops-reproducibility-crisis-why.html

When you describe the computational methods in your paper without sharing the code and data:

One major cause of the reproducibility crisis is that the way we describe computational methods in research articles has not kept pace with the increase in complexity of the methods themselves. Human language and mathematical formulas are not adequate in many cases.

Karl Popper in The Logic of Scientific Discovery, 1959: ‘Non-reproducible single occurrences are of no significance to science.’

XKCD in Replication Crisis, 2025: ‘Replication Crisis Solved’
https://xkcd.com/3117/

An interesting approach towards investigating #reproducibility in #research. And not just doom and gloom for a change... #Academia

https://www.nature.com/articles/d41586-025-02250-1

There is at least one subfield of biology where #reproducibility is relative high: fruit fly immunology where, according to a new study, the majority of results can be reproduced. I guess that a reason may be large sample sizes.
https://www.nature.com/articles/d41586-025-02250-1

Retractions and failures to replicate are signs of weak research. But they're also signs of laudable and necessary efforts to identify weak research and improve future research. The #Trump admin is systematically weaponizing these efforts to cast doubt on science as such.

"Research-integrity sleuths say their work is being ‘twisted’ to undermine science."
https://www.nature.com/articles/d41586-025-02163-z