Francisco Rodriguez-Sanchez (@frodsan) Bsky

🐝 The Biodiversity Forecasting Challenge is an experiment to understand how well machine learning models compare to human intuition.

Discover the perks of predicting insect population trends yourself. No need for previous expertise to try it out!

👉 pollinators-antenna.eu/forecasting

9 hours ago 3 5 0 2

Refugios climáticos: España ya es un referente mundial frente al calor extremo Ante olas de calor cada vez más intensas, la creación de refugios climáticos se ha vuelto una política pública urgente en las ciudades. A pesar de ser un modelo a seguir, al caso español le quedan mu...

A raíz de nuestro comentario en @natclimate.nature.com, y con el verano a la vuelta de la esquina, es momento de prepararse: debemos evolucionar hacia una planificación continua que integre las dimensiones climática, social, sanitaria y de gobernanza.

@csic.es

theconversation.com/refugios-cli...

1 day ago 4 3 0 0

Características del contrato: se requiere Grado en Biología, Ciencias Ambientales o Ingeniería Informática, además de certificado de inglés nivel B1. Se trabajará en: Recopilación de datos sobre características de frutos y semillas de plantas de todo el mundo. Uso de herramientas informáticas para la extracción masiva de datos de fuentes no estructuradas (texto, imágenes). Integración de los datos en una base de datos global utilizando R y herramientas de control de versiones (git, GitHub Actions).

Contrato de 2 años para trabajar con nosotros en #FRUSEED #Ecoinformatica @unisevilla.us.es

Convocatoria: www.investigacion.us.es/recursos-hum...

Plazo: 20 de abril

3 weeks ago 3 10 1 0

I'm planning on a GIANT roxygen2 release in the near future (tons of bug fixes, improved R6 support, new S7 support, ...) so if you use for your packages, I'd really appreciate you trying it out and letting me know if you see any problems! github.com/r-lib/roxyge... #rstats

5 days ago 52 16 1 0

ColorBrewer diverging palettes

I typically use ColorBrewer diverging palettes (below) but here are a few more (plus papers discussing theory)

stackoverflow.com/questions/37...

1 week ago 1 0 1 0

I'm a data scientist @ourworldindata.org and I need help from a botanist or someone local to Kyoto, Japan! 🌸

We present one of the world’s longest climate records: 1,200 years of peak cherry blossom dates in Kyoto.

The researcher who maintained it, Prof. Yasuyuki Aono, sadly passed away last year.

1 week ago 461 287 12 21

'The purpose of a PhD is to develop independent scientific expertise: learning to think critically, analyze data, write clearly, and form your own judgment. When AI automates those cognitive tasks, trainees can produce polished outputs while bypassing the learning process'

#AI #learning #teaching

1 week ago 8 0 0 0

Challenges in the Computational Reproducibility of Linear Regression Analyses: An Empirical Study Background: Reproducibility concerns in health research have grown, as many published results fail to be independently reproduced. Achieving computational reproducibility, where others can replicate the same results using the same methods, requires transparent reporting of statistical tests, models, and software use. While data-sharing initiatives have improved accessibility, the actual usability of shared data for reproducing research findings remains underexplored. Addressing this gap is crucial for advancing open science and ensuring that shared data meaningfully support reproducibility and enable collaboration, thereby strengthening evidence-based policy and practice. Methods: A random sample of 95 PLOS ONE health research papers from 2019 reporting linear regression was assessed for data-sharing practices and computational reproducibility. Data were accessible for 43 papers. From the randomly selected sample, the first 20 papers with available data were assessed for computational reproducibility. Three regression models per paper were reanalysed. Results: Of the 95 papers, 68 reported having data available, but 25 of these lacked the data required to reproduce the linear regression models. Only eight of 20 papers we analysed were computationally reproducible. A major barrier to reproducing the analyses was the great difficulty in matching the variables described in the paper to those in the data. Papers sometimes failed to be reproduced because the methods were not adequately described, including variable adjustments and data exclusions. Conclusion: More than half (60%) of analysed studies were not computationally reproducible, raising concerns about the credibility of the reported results and highlighting the need for greater transparency and rigour in research reporting. When data are made available, authors should provide a corresponding data dictionary with variable labels that match those used in the paper. Analysis code, model specifications, and any supporting materials detailing the steps required to reproduce the results should be deposited in a publicly accessible repository or included as supplementary files. To increase the reproducibility of statistical results, we propose a Model Location and Specification Table (MLast), which tracks where and what analyses were performed. In conjunction with a data dictionary, MLast enables the mapping of analyses, greatly aiding computational reproducibility. ### Competing Interest Statement The authors have declared no competing interest. ### Funding Statement There was no cost associated with this research except for attending conferences. These costs were covered by the primary authors PhD allocation from the health faculty, Queensland University of Technology, and scholarships. The Statistical Society of Australia (SSA) and the Association for Interdisciplinary Meta-research & Open Science (AIMOS) supported the primary author with travel grants to attend their respective conferences. These scholarships did not influence the results of the study. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. ### Author Declarations I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained. Yes The details of the IRB/oversight body that provided approval or exemption for the research described are given below: The aim of this study was to reproduce the statistical results from publications that made their data publicly available. Authors of papers published in PLOS ONE were considered to have implicitly consented through their agreement with the journals data sharing policy, which supports the validation and reproduction of results from shared data. This study received Negligible-Low Risk Ethics approval from the Queensland University of Technology Human Research Ethics Committee (Approval Number: 2000000458). I confirm that all necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived, and that any patient/participant/sample identifiers included were not known to anyone (e.g., hospital staff, patients or participants themselves) outside the research group so cannot be used to identify individuals. Yes I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance). Yes I have followed all appropriate research reporting guidelines, such as any relevant EQUATOR Network research reporting checklist(s) and other pertinent material, if applicable. Yes The data and a reproducible R Quarto file used to produce this paper, including tables, figures, and code, have been stored in a GitHub repository and can be cited using Zenodo dio. <https://github.com/Lee-V-Jones/Reproducibility> <https://doi.org/10.5281/zenodo.19448969>

New preprint by my excellent student Lee Jones on trying to computationally reproduce papers that used linear regression and made their data available. This has been a huge effort by Lee and she has written useful recommendations for practice. www.medrxiv.org/content/10.6...

1 week ago 30 13 2 3

Cream coloured background with an illustration of a tarsier and in red text overlaid reads 2026 Graduate Researchers Award with the GBIF logo displayed at the bottom

🎓 The 2026 GBIF Graduate Researchers Award is open for nominations! This award celebrates innovative Master’s and PhD research powered by GBIF-mediated data, with opportunity to win 2x €5,000 prizes!

Learn more:🔗 gbif.link/GRA_2026

#ApplyNow #EarlyCareerResearch #FundingOpportunity

1 week ago 4 5 0 0

Quarto 2 is in the making and will allow for collaborative writing/ coding in the web.

2 weeks ago 10 1 0 0

I feel your pain Maria. But I also think many scientists still want to truly learn, understand something better, perhaps contribute to solving some problem... I try to get around those people, and flee from the others. And try to change the system whenever we can! Ánimo!!

1 week ago 3 0 1 0

Indeed. The whole post is rich in inspiring quotes. Food for thought!

1 week ago 0 0 0 0

@amolineroos.bsky.social 👆🏼 ¿tal vez pueda interesar a algunos compañeros del Máster o del grado? Gracias

2 weeks ago 1 0 0 0

Why we won’t be funding open access publishing any more - Cancer Research UK - Cancer News The open access movement was bold and promising, but ultimately disappointing. Now is the time to stop and call for a new way to make publishing work…

Why we won’t be funding open access publishing any more - Cancer Research UK - Cancer News news.cancerresearchuk.org/2026/04/01/why-we-wont-b...

2 weeks ago 1 2 1 0

'The real threat is a slow, comfortable drift toward not understanding what you're doing. Not a dramatic collapse. Just a generation of researchers who can produce results but can't produce understanding'

What a nice post on AI, education, learning, research and academia

2 weeks ago 24 8 1 1

Species range shifts often speed ahead of their modeled climatic niches | PNAS Anticipating how species distributions will shift with climate change is key for biodiversity conservation and management. Commonly, species’ range...

After 4yr of hard work to compare empirical species range positions' shifts from the #BioShifts DB against predictions from niche-based models trained on climate & tailored to methodological attributes of each species & study, we found species shift ahead of models' predictions! 🦋

shorturl.at/vOmCw

2 weeks ago 61 26 1 0

The most significant barrier to verifying reproducibility was lack of data availability. Only 24% of 600 papers had author-provided data available. ~72% had neither data nor code accessible. Economics and political science papers were much more likely to have data available.

2 weeks ago 1 1 1 0

Investigating the reproducibility of the social and behavioural sciences - Nature A study of reproducibility in a stratified random sample of 600 papers published from 2009 to 2018 in 62 journals spanning the social and behavioural sciences finds higher reproducibility among more&n...

Can published findings be reproduced from the same data + same analysis? As part of SCORE, Miske and 127 co-authors tested this across social and behavioral science papers from 2009–2018.

www.nature.com/articles/s41...

OA: osf.io/preprints/me...

1/

2 weeks ago 37 20 1 1

📄Published Today in Nature:

500 researchers reproduced 100 studies across the social & behavioral sciences to assess their analytical robustness (led by @balazsaczel.bsky.social & @szaszibarnabas.bsky.social).

Article: www.nature.com/articles/s41...

Preprint: osf.io/preprints/me...

TLDR: 1/11

2 weeks ago 91 48 2 4

My new piece "Reproducibility: how to strengthen a weak foundation" is out today @nature.com! 🎉 How reproducible is research in the social & behavioural sciences? A new study by Miske et al. assessed 600 papers across 62 journals: the results are sobering.

📄 doi.org/10.1038/d415...
📄 rdcu.be/fbcq5

2 weeks ago 47 25 1 0

A year ago, @sajedehra.bsky.social and I reached out to 20 Dutch metascientists and asked: Instead of competing for this upcoming grant, how about we collaborate, determine what we believe is a priority, and combine our expertise? Both grants were funded. We discuss our experience in a new preprint.

2 weeks ago 16 4 0 0

IMPACT OF PARENTHOOD ON UNIVERSITY EMPLOYMENT. Line graph shows how the probability of holding a research position changes from four years before to seven years after having children.

Becoming a parent is much more detrimental to women’s academic careers than it is to men’s

Read the full story: go.nature.com/4v4rxmQ

3 weeks ago 248 156 6 39

There’s some cool recent research on this phenomenon! It turns out vision language models excel at image benchmarks *even when the actual images aren’t provided,* because the answers are implicit in the questions!

arxiv.org/abs/2603.21687

3 weeks ago 234 51 10 9

Características del contrato: se requiere Grado en Biología, Ciencias Ambientales o Ingeniería Informática, además de certificado de inglés nivel B1. Se trabajará en: Recopilación de datos sobre características de frutos y semillas de plantas de todo el mundo. Uso de herramientas informáticas para la extracción masiva de datos de fuentes no estructuradas (texto, imágenes). Integración de los datos en una base de datos global utilizando R y herramientas de control de versiones (git, GitHub Actions).

Contrato de 2 años para trabajar con nosotros en #FRUSEED #Ecoinformatica @unisevilla.us.es

Convocatoria: www.investigacion.us.es/recursos-hum...

Plazo: 20 de abril

3 weeks ago 3 10 1 0

AI algorithms can become ‘agents of chaos’ Given autonomous control of other software, programs shared private medical details and deleted files without permission

#AIagents promise to speed up ordinary online tasks, but they can also share private files publicly, delete others, and libel people. A new study examines these #AIsafety vulnerabilities. #OpenClaw #AIgovernance @science.org www.science.org/content/arti...

4 weeks ago 24 12 2 2

CodaNote: Collaborative Markdown/Quarto/Rmarkdown

People were looking for collaborating on MD family files with knit rendering...

I built this tool for CORE team, works like Google Docs.
Opened it to all from internal use so everyone can use it.

Feedback welcome!

Try:
codanote.vercel.app

3 weeks ago 51 20 10 3

If you want to collaborate on Qmd, Rmd, or md files for reproducible manuscripts, try out the alpha version of Quarto Review! It does track changes, comments, syncs with git, shows differences between versions! github.com/Lakens/Quart...

Tell me the bugs and feature requests!

4 weeks ago 65 19 2 2

Statistical Rethinking 2026 is done: 20 new lectures emphasizing logical and critical statistical workflow, from basics of probability theory to causal inference to reliable computation to sensitivity. It's all free, made just for you. Lecture list and links: github.com/rmcelreath/s...

4 weeks ago 598 193 11 11

Nice #statistics post on Stein's paradox, shrinkage, ridge regression, mixed effects/hierarchical models and why 'pooling information across individuals in a group results in better individual-level estimates' #StatsSky

1 month ago 8 1 0 0

Earth System Research and Training at FAU

We are looking for a postdoc (up to five years) interested in climate-driven plant extinctions! Working with @manuelsteinbauer.bsky.social and me and a large team on various aspects of Earth system sciences.

More information here: fau-earth-system-science.github.io

1 month ago 20 33 2 0

Posts by Francisco Rodriguez-Sanchez