iiinova — where your digital self keeps evolving

Reposted by Esteban Montenegro-Montenegro

Sacha Epskamp @sachaepskamp.bsky.social · 28/09/2026

This December, @adelaisvoranu.bsky.social and I are hosting two consecutive 3-day workshops on network psychometrics in Singapore 🇸🇬 Workshop 1: foundations, theory & cross-sectional analysis Workshop 2: psychometric modeling & longitudinal analysis Details: fass.nus.edu.sg/psy/network-...

fass.nus.edu.sg

022

Esteban Montenegro-Montenegro @m-square.net · 22/09/2026

Just in case any of you is looking for a similar job position. #jobs #academia

010

Reposted by Esteban Montenegro-Montenegro

James Balamuta @coatless.bsky.social · 30/08/2026

{Pyodios} v1.1.0 has been sent over to the App Store for approval. It includes a host of fixes, features, and a bump from Python v3.13 to v3.14. This requires iOS 26 or above. Once approved, we'll be pulling back the initial Pyodios v1.0.0 version to avoid it being available on iOS 17/18 devices.

041

Reposted by Esteban Montenegro-Montenegro

Matthew Kay @mjskay.com · 20/08/2026

Given all the discussions about Jacobians at #StanCon today, the @mc-stan.org audience would appreciate that {ggdist} automatically applies the Jacobian adjustment when visualizing densities on transformed scales -- I should have demoed it in my talk! Sometimes useful when looking at priors...

A lognormal distribution on the original scale and then on a log scale, showing how its shape is transformed (and is Normal on the log scale).

A normal distribution on the original scale and then on an inverse-logit scale, showing how its shape is transformed.

0184

Reposted by Esteban Montenegro-Montenegro

Julia M. Rohrer @dingdingpeng.the100.ci · 27/08/2026

Psychological Science special issue call 📣 Ever had your research denigrated bc it's "only descriptive", "what's the mechanism though?" and "but what are the theoretical implications?" Now has come your time to shine. Send your best descriptive work! www.psychologicalscience.org/publications...

Psychological Science invites submissions that advance psychological science through careful description of psychological phenomena. Psychological research often focuses on explaining and predicting phenomena before we have a sufficiently detailed understanding of them. It can be difficult to build strong theories on incomplete empirical foundations of the phenomena themselves. Careful descriptive research helps establish shared empirical reference points developed around well-characterized phenomena. As such, descriptive research contributes to psychological science both by improving our understanding of the phenomena themselves and by providing a stronger foundation for future theory-building, explanation, and prediction.

We are interested in manuscripts that:

Deepen our understanding of psychological phenomena, including what they look like, how they vary, and how they unfold;
Draw on a variety of sources of evidence and methods, including qualitative, quantitative, and mixed-methods approaches; research conducted in naturalistic settings; intensive, longitudinal, or small-sample designs; and open or large-scale datasets;
Provide necessary context for interpreting what is being described, including who is represented in the data, the settings and circumstances in which phenomena occur, and the broader social contexts in which they are situated; and/or
Make a substantive contribution to psychological science through the quality, depth, or significance of the description provided.
The deadline for submitting regular manuscripts is April 15, 2027. Registered Reports will also be considered. The deadline for submitting Stage 1 Registered Reports is November 15, 2026. Authors should indicate in the “Comments to Editor” box during submission that the manuscript is intended for the “Descriptive Research in Psychological Science” special issue.

7244128

Reposted by Esteban Montenegro-Montenegro

Mine Çetinkaya-Rundel @minecr.bsky.social · 17/08/2026

Less than a month away from teaching one of my favorite things with one of my favorite people at one of my favorite conferences. Hope you'll join @cwick.co.nz and me at the "Practical Quarto" workshop at posit.co/conference! #quarto #rstats #python #opensource

Promotional image for the "Practical Quarto: Patterns, templates, and tooling" workshop at posit::conf(2026), featuring headshots of instructors Charlotte Wickham and Mine Çetinkaya-Rundel. The conference is in Houston, Sep 14-16.

1198

Esteban Montenegro-Montenegro @m-square.net · 27/06/2026

This is great! I hope this project grows and bring more data to the public.

030

Reposted by Esteban Montenegro-Montenegro

Rob Calver @robcalver.bsky.social · 13/04/2026

Very excited to announce that the #BayesianWorkflow book by @statmodeling.bsky.social, @avehtari.bsky.social, @rmcelreath.bsky.social et al publishes in June! routledge.com/9780367490140 #RStats #DataScience #Bayesian

110323

Reposted by Esteban Montenegro-Montenegro

Rob Calver @robcalver.bsky.social · 22/06/2026

Great to see Rod Little giving a short course at #JSM2026 based on his brilliant book, Seminal Ideas and Controversies in #Statistics. More details at ww3.aievolution.com/JSMAnnual202.... #DataScience @amstatnews.bsky.social

093

Reposted by Esteban Montenegro-Montenegro

Peter Dalgaard @pdalgd.bsky.social · 24/06/2026

R version 4.6.1 "Happy Hop" (source version) has been released. It should be on CRAN by now (update of manuals pending). #rstats

1329

Reposted by Esteban Montenegro-Montenegro

Michael Friendly @datavisfriendly.bsky.social · 30/05/2026

#TodayinHistory #dataviz #Onthisday #OTD 📊 🎂May 29, 1887 Louis Leon Thurstone born in Chicago, Illnois, USA 🇺🇸 Paying tribute to my academic grandfather. 🫂 In 1935, he developed multiple factor analysis in his book _Vectors of the Mind_ - what a title!

Photo of Louis Leon Thurstone in front of a blackboard illustrating multiple factors.

Title page of Thurstone's Vectors of the Mind: Multiple Factor Analysis for the Isolation of Primary Mental Abilities

081

Reposted by Esteban Montenegro-Montenegro

rOpenSci @handle.invalid · 07/05/2026

Today we’re featuring Julia Silge! 🇺🇸 Data scientist and MLOps practitioner with #rstats, specializing in text mining. She maintains {qualtRics} that implements the retrieval of survey data using the Qualtrics API and aims to reduce the pre-processing steps […] [Original post on hachyderm.io]

Julia smiling. List of packages and social media.

1146

Reposted by Esteban Montenegro-Montenegro

Edgar @theotheredgar.bsky.social · 29/04/2026

📰 New post alert! Our second #tidymodels cheatsheet is out now! It covers creating models with {parsnip}. We have written a post with an overview of both our current cheatsheets: opensource.posit.co/blog/2026-04... #rstats #DataScience

opensource.posit.co

tidymodels Cheatsheets

Two new cheatsheets for Tidymodels are now available: one for creating models with parsnip, and one for preprocessing data with recipes.

0379

Reposted by Esteban Montenegro-Montenegro

Dirk Eddelbuettel @eddelbuettel.com · 17/04/2026

STAT 447 was priviliged to have @vincentab.bsky.social deliver a wonderful (and, naturally, impressive) guest lecture on 'Model to Meaning' this week (see below for details). Everybody was ok with recording, so this is now on YouTube (see quoted post). #rstats emails.illinois.edu/newsletter/9...

emails.illinois.edu

STAT 447: Data Science Programming Methods Guest Lecture - Vincent Arel-Bundock (Poli Sci - University of Montreal)

0172

Reposted by Esteban Montenegro-Montenegro

Yihui Xie @yihui.org · 15/04/2026

My first experiment with using Rust in an R package: github.com/yihui/tinyimg Blog post: yihui.org/en/2026/03/t... I failed to figure out an ideal universal threshold for the color difference for lossy PNG optimization. If anyone has expertise on this, I'll truly appreciate your help!

github.com

GitHub - yihui/tinyimg: An R package for optimizing and compressing images

An R package for optimizing and compressing images - yihui/tinyimg

2152

Esteban Montenegro-Montenegro @m-square.net · 11/04/2026

This package has the potential to make my #rstats workflow smoother. I'm happy to see more developments by Yihui.

030

Reposted by Esteban Montenegro-Montenegro

bsvars @bsvars.org · 09/04/2026

🚀 Aww! It's so good when the promise of open source delivers and when the community starts contributing. Bruno found a small but impossible-to-find-otherwise typo in my R package bsvars 💝 submitted a PR, and it's all fixed now! Thanks, Bruno! ✨ github.com/bsvars/bsvar... #bsvars #foss #rstats

github.com

Fix indexing in posterior sampling loop by brunolbcavalcante · Pull Request #136 · bsvars/bsvars

Loop using 's' but accessing 'S' (constant = n draws): S_T[,,s] = object$posterior$xi_cpp[S,1][[1]][,T,] # BUG: S -> s

052

Reposted by Esteban Montenegro-Montenegro

Carolyn Dicey Jennings @cdj.bsky.social · 07/04/2026

For people in the Central Valley: there will be TWO talks by Dr. Jelle Bruineberg (Copenhagen) at #UCMerced this week. One is public and criticizes the idea that we face "too much information," and the other is academic/scholarly and focused on a problem for attention theorists. All are welcome!

Attention’s relevance problem
Friday, April 10, 3:30-5pm
COB1 265 (UCM main campus)

Intuitively, attention serves to attune an agent to what is relevant. A distracted agent is one that attends to things that are not, in fact, relevant. But what is the standard by which something is relevant? Answers often point to specific internal states, such as goals or intentions, or to specific external states, such as tasks or settings. The story cannot be so simple: something task-, or goal-unrelated can be highly relevant, and staying “on task” in the face of such events is seen as an attentional failure: a hungry bunny that fails to notice the arrival of a bird of prey is missing something relevant. This suggests that what is relevant is not just dependent on an agent’s occurrent goals or tasks, but is dependent on a wide set of interests.

My aim in this talk is first to motivate that this is the right way to think about relevance. My second aim is to spell out a number of consequences for attention. If what is relevant is dependent on a whole array of interests, then attuning an agent to what is relevant becomes much more complicated. I will argue that the problem at hand is one of unencapsulation, similar to the more familiar relevance problem for belief fixation. I will try to show that many activities that are typically labeled as distractions can actually be thought of as “relevance-checking” behaviors.

This talk is intended for an academic audience.

Embodied cognition meets the attention economy
Thursday, April 9, 5:30pm
UC Merced on Main (1635 M Street, Downtown Merced)

Herbert Simon’s credo that “A wealth of information creates a poverty of attention” is generally taken to be foundational for the attention economy, the economic system in which human attention is the scarce commodity: it is because there is too much information in our environment that attending has become so difficult. My aims in this talk are twofold: first I want to show that the attention economy rests on shaky conceptual foundations that are untenable in the light of contemporary cognitive science of attention. Second, I draw on principles from embodied cognition to provide an alternative diagnosis of our current situation. The problem is not so much an abundance of information, but an abundance of always available action possibilities, making selecting the relevant course of action much more difficult.

This talk is intended for a general public audience.

272

Reposted by Esteban Montenegro-Montenegro

Chanda Prescod-Weinstein 🌌 @chanda.blacksky.app · 23/03/2026

First look inside the book!!! “We are called to go back and get the history of space-time. And who am I to argue with the ancestors?” You can now peruse the TOC and read the first few pages of The Edge of Space-Time, which debuts in 2 weeks! 💙📚 www.penguinrandomhouse.com/books/746817...

Screenshot of the linked page with arrows pointing at “look inside” and “read sample”

49438

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 22/03/2026

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...

12680215

Reposted by Esteban Montenegro-Montenegro

Isabella Velásquez @ivelasq3.bsky.social · 17/03/2026

There's a new version of dplyr out, and I'm thrilled to chat about it with @rladiesrome.bsky.social tomorrow! Let's learn the new #RStats functions that help you grip your data better (hehe). 3/18 at 12pm CT. Sign up here! www.meetup.com/rladies-rome...

0196

Reposted by Esteban Montenegro-Montenegro

Michael Friendly @datavisfriendly.bsky.social · 05/03/2026

#TodayinHistory #dataviz #Onthisday #OTD 📊 🎂Mar 4, 1897 Mary Eleanor Spear born in Jonesboro, Indiana, USA 🇺🇸 A data vis specialist at the Bureau of Labor Statistics, she pioneered the boxplot and wrote books on effective graphic techniques (done by hand!) 👀 bit.ly/4baeFSY

bit.ly

Credit Where Credit is Due: Mary Eleanor Spear

Exploring the life and work of an overlooked mid-century dataviz pioneer who may have discovered the Box Plot 17 years before John Tukey.

0102

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 03/03/2026

Lecture A09 - I get mildly ranty about the low quality of papers on discrimination and somehow also introduce generalized linear models for events and illustrate post-stratification. The theme continues next week with modeling sensitivity to unmeasured confounding. I will try to be less ranty.

youtube.com

Statistical Rethinking Lecture A09 - Modeling Events

YouTube video by Richard McElreath

2498

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 03/03/2026

good morning everyone project your personal imposter syndrome onto this gif ur welcome

613533

Reposted by Esteban Montenegro-Montenegro

Norm Matloff (你有冇諗清楚呀?) @matloff.bsky.social · 21/02/2026

#rstats The Australian and New Zealand Journal of Statistics will be running a special issue commemorating the 25th anniversary of the official release of R. (The Univ. of Auckland was the birthplace of R.) They invited various people to contribute articles, including me. 🧵 1/

14912

Reposted by Esteban Montenegro-Montenegro

Theresa Kim, PhD, MS @tyk314.net · 16/02/2026

Dr. Ginexi's latest blog states, "Constraint is not the same as consent." My colleagues and I move things. Maybe we move differently from before. Maybe we communicate differently. Please consider our safety. Keep talking with us. #NIHStrong #FEDstrong

elizabethginexi.substack.com

What NIH Staff Can’t Tell You—And Why That Matters

The people who understand most clearly what is being lost at the NIH are also the people least able to say so.

0108

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 06/02/2026

Witness the power of this fully operational Bayesian latent space social relations model - Lecture B05 of Statistical Rethinking 2026. Incremental model construction and testing workflow for dyadic and generalized exchange networks, posterior network simulation, one dank Insane Clown Posse meme.

youtube.com

Statistical Rethinking 2026 Lecture B05 - Social Networks II

YouTube video by Richard McElreath

0459

Reposted by Esteban Montenegro-Montenegro

Marcela Suarez @marentierra.bsky.social · 05/02/2026

The uncritical adoption of AI technologies puts scientific integrity, diversity, sustainability, digital sovereignty and democracy at risk. We will discuss ways to resist this adoption in our Summer School “Critical AI literacies for Resisting and Reclaiming”

22610

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 04/02/2026

I am doing a short workshop in this symposium (quoted below) for folks in and around Leipzig. Here's the abstract. I really indulged myself with this one. A Guerilla Approach to Scientific Workflow:

Title: A Guerilla Approach to Scientific Workflow

Abstract: Taking inspiration from guerilla warfare, I will introduce a framework for managing scientific research that addresses the complexity of research while advancing goals of transparency and reliability. Real science is complex, and there is no single scientific method. It is a chaotic network of theories, data, models, graphs, comparisons, summaries, and narratives. A flaw in any part can ruin everything. How can small teams of researchers challenge this complexity and emerge victorious? More statistical training is not enough. More resources is not enough. Lawrence of Arabia once said, "Guerrilla warfare is more intellectual than a bayonet charge." And this is how we too will proceed. Instead of confronting the complexity directly, with more money and more people and more data and more meta-analyses, we must develop a SCIENTIFIC WORKFLOW that subdivides, analyzes, and transparently justifies our individual research projects. The tools to do this already exist, and individual researchers can become scientific guerillas today to improve their chances of victory.

37014

Reposted by Esteban Montenegro-Montenegro

Aki Vehtari @avehtari.bsky.social · 04/02/2026

Watching @rmcelreath.bsky.social's both A and B lectures feels like a watching a movie which jumps between two different time periods

1241

Reposted by Esteban Montenegro-Montenegro

Ben Harrap @bharrap.bsky.social · 04/02/2026

Are you a #Stata user? Maybe you work with one? Have you ever found yourself copy-pasting from the results window? It's annoying as hell! And terrible practice. So I wrote a blog post on using #rstats to extract results from Stata log files benharrap.com/post/2026-02...

benharrap.com

Using R to extract results from Stata log files – Ben Harrap

3104

Reposted by Esteban Montenegro-Montenegro

Dr. Emily Hamilton-Honey @hermioneclone.bsky.social · 25/01/2026

#AcademicSky, I need suggestions. I am looking for a (university?) press that does good critical editions for literature, a press that is NOT Norton or Broadview. I'd also love if the critical editions in question had new scholarship as well as old, and archival materials included as well.

133

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 24/01/2026

Possums in your yard? News got you down? Fear not, I have made playlists for the A and B sections of my ongoing Statistical Rethinking course. Click the section of your choice, sit back, and forget the possums and decay of the international order while your brain updates. github.com/rmcelreath/s...

screen shot of lecture playlist links and table of lecture topics

39913

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 23/01/2026

Adventures in Covariance - Lecture B03 of Statistical Rethinking 2026. Prelude about MCMC effective sample size, Multilevel varying slopes models with correlated features, non-centered parameterizations for covariance models, model expansion workflow. Next week is social networks.

youtube.com

Statistical Rethinking Lecture B03 - Adventures in Covariance

YouTube video by Richard McElreath

2547

Reposted by Esteban Montenegro-Montenegro

Josiah @josiah.rs · 18/01/2026

extendr has crossed 1 MILLION 🎉 CRAN package downloads! Using Rust 🦀 with R is cool (and easy!) I swear! Do you have a package we're not tracking yet? #rust #rstats github.com/extendr/awes...

1214

Reposted by Esteban Montenegro-Montenegro

Dr. Laura M. König @lauramkoenig.bsky.social · 12/01/2026

Interested in doing a PhD in health psychology, focusing on topics such as health-related misinformation and AI-generated health advice? @univie.ac.at is advertising 40+ PhD positions in the social sciences and humanities, and I also act as supervisor. #BehSci careers.univie.ac.at/en/praedoc/p...

166

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 16/01/2026

Lecture B02 of Statistical Rethinking 2026. Multilevel model expansion: workflow, cluster and feature engineering, non-centered parameterization, dank memes. Continues next week with models of population covariance and (if there is time) group-level confounding and "Mundlak machines".

youtube.com

Statistical Rethinking 2026 - Lecture B02 - Multilevel Model Expansion

YouTube video by Richard McElreath

08415

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 13/01/2026

I biked to work in 3cm of slush this morning to deliver another lecture. Stat Rethinking A02: more Bayesian updating, points and intervals, posterior predictive distributions. Next week it's linear regression as Gauss intended. Full course schedule here: github.com/rmcelreath/s...

youtube.com

Statistical Rethinking 2026 - Lecture A02 - Garden of Forking Data

YouTube video by Richard McElreath

2746

Reposted by Esteban Montenegro-Montenegro

Andrew Heiss @andrew.heiss.phd · 13/01/2026

This was fun! I just posted all the links and resources we talked about at www.andrewheiss.com/blog/2026/01... - check it out to learn more about Raycast, Espanso, and neat Positron/VS Code extensions like Peacock and Pastum and Project Manager #rstats #databs

andrewheiss.com

How to make your data analysis life easier using Positron, Raycast, and Espanso | Andrew Heiss

Links and resources from my time on Posit’s Data Science Lab in January 2026

56012

Reposted by Esteban Montenegro-Montenegro

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · 09/01/2026

Statistical Rethinking 2026 Lecture B01 Multilevel Models is online. This is the first lecture of the "experienced" section, in which we start with multilevel models and venture into vast covariance spaces. Full lecture list still here: github.com/rmcelreath/s...

youtube.com

Statistical Rethinking 2026 - Lecture B01 - Multilevel Models

YouTube video by Richard McElreath

09917

Reposted by Esteban Montenegro-Montenegro

Aki Vehtari @avehtari.bsky.social · 07/01/2026

My dept has an open assistant professor position (DL 2nd Feb). Although the call indicates special interest in datacenter-scale computing systems research, any research area is applicable and this would be a great place also for someone doing Bayesian flavored research www.aalto.fi/en/open-posi...

aalto.fi

Assistant Professor in Computer Science | Aalto University

Candidates applying to this call are considered for Assistant Professor position only. Applicants are required to have a doctoral degree and a publication track record in top journals and conferences in a relevant field.

095

Reposted by Esteban Montenegro-Montenegro

Christyn Parkes @parkesland.bsky.social · 24/12/2025

Absolute banger of a collaboration between @openuniversity.bsky.social and @vaginamuseum.bsky.social next April. CfP closes Feb 6th www.vaginamuseum.co.uk/fanniversary...

vaginamuseum.co.uk

Fanniversary Conference — Vagina Museum

032