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#reproducible

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Leonardo Lenoci ✅

#Reproducible #Research
nature.com/articles/s41597-022
I bet a lot of researchers have never heard about functional package managers and schools don't teach them either. But it is never too late to learn something new.
#FreeSoftware #GNU #Guix #NixOS #openscience

NatureToward practical transparent verifiable and long-term reproducible research using Guix - Scientific DataReproducibility crisis urge scientists to promote transparency which allows peers to draw same conclusions after performing identical steps from hypothesis to results. Growing resources are developed to open the access to methods, data and source codes. Still, the computational environment, an interface between data and source code running analyses, is not addressed. Environments are usually described with software and library names associated with version labels or provided as an opaque container image. This is not enough to describe the complexity of the dependencies on which they rely to operate on. We describe this issue and illustrate how open tools like Guix can be used by any scientist to share their environment and allow peers to reproduce it. Some steps of research might not be fully reproducible, but at least, transparency for computation is technically addressable. These tools should be considered by scientists willing to promote transparency and open science.
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F-Droid

We are celebrating 10 years of #reproducible builds in #FDroid this year, and we are overhauling the way the build server works.

Thanks to the funding from #NLnet, #NGI #NGI0 part of #HorizonEurope, and your donations, our work is intended to power the future of #FDroid for the next ten and more.

Dig deeper for the why and the how in this 15 mins post: f-droid.org/2025/05/21/making-

f-droid.orgMaking reproducible builds visible | F-Droid - Free and Open Source Android App RepositoryOur lives are moving into the digital realm, our private data flows throughall sorts of software. As software controls more and more of our lives, itis becom...
Public
Stefano Zacchiroli

This week I'm in #Montreal to present at #SANER2025 recent joint work with A. Gurioli and M. Gabrielli, on how to recognize AI-generated code. Key differences in our results wrt the state-of-the-art are: (1) a multilingual approach that supports 10 different programming languages, and (2) a fully #reproducible pipeline based on both #OpenWeight and #OpenData self-hosted LLMs. Talk info and #OpenAccess preprint at: conf.researchr.org/details/san

conf.researchr.orgIs This You, LLM? Recognizing AI-written Programs with Multilingual Code Stylometry (SANER 2025 - Research Papers) - SANER 2025The IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) is the premier event on the theory and practice of recovering information from existing software and systems. The event explores innovative methods to extract the many kinds of information that can be recovered from software, software engineering documents, and systems artifacts, and examines innovative ways of using this information in system renewal and program understanding. SANER promotes discussion and interaction among researchers and practitioners about the development of maintainable system ...
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Abhishek Kumar

Excited to share our new #research #preprint on Determinants of Plant Species Richness along Elevational Gradients

Check it out ResearchSquare 👇
researchsquare.com/article/rs-

Access the #Reproducible draft with all data and #RStats code 👇
github.com/kumar-a/richness-de

Any comments, #feedback, or suggestions are welcome!

www.researchsquare.comDeterminants of Plant Species Richness Along Elevational Gradients: Insights with Climate, Energy and Water-Energy DynamicsUnderstanding the patterns and processes of species distributions has long remained a central focus of biogeographical and ecological research. While the evidence for elevational patterns in species richness is widespread, our understanding of underlying causes and mechanisms remained limited....
#SpeciesRichness#ElevationalGradient#PlantEcology
Public
Phil McAleer

Our new #PsyTeachR #preprint is out today: "Embedding Data Skills in Research Methods Education: Preparing Students for Reproducible Research". In this paper we discuss the importance of #teaching relevant #dataskills including wrangling and visualisation, as well as analysis, throughout #undergraduate #ResearchMethods programmes, to help develop #reproducible research in the future. Whilst we use #rstats, the most important aspect is teaching key skills, not software.

🔗 psyarxiv.com/hq68s/

Abstract Reads: Many initiatives to improve reproducibility incentivise replication and encourage greater transparency without directly addressing the underlying skills needed for transparent and reproducible data preparation and analysis. In this paper, we argue that training in data processing and transformation should be embedded in field-specific research methods curricula. Promoting reproducibility and open science requires not only teaching relevant values and practices, but also providing the skills needed for reproducible data analysis. Improving students’ data skills will also enhance their employability within and beyond the academic context. To demonstrate the necessity of these skills, we walk through the analysis of realistic data from a classic paradigm in experimental psychology that is often used in teaching: the Stroop Interference Task. When starting from realistic raw data, nearly 80% of the data analytic effort for this task involves skills not commonly taught—namely, importing, manipulating, and transforming tabular data. Data processing and transformation is a large and inescapable part of data analysis, and so education should strive to make the work associated with it as efficient, transparent, and reproducible as possible. We conclude by considering the challenges of embedding computational data skills training in undergraduate programmes and offer some solutions.
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