I might have to change my research to AI so I can work with cat images all day
10.03.2026 19:01
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I might have to change my research to AI so I can work with cat images all day
Best talk of the day, super unbiased of course. #CatLady
Vicente Ordรณรฑez from Rice University
Reminds me of parallel tempering. #BayesLife
Day 2 so far โ the Canadians are here!
Vincent Mai from LawZero talking about reinforcement learning.
David Fleet from UofT talking to us about computer vision.
Ca y est ! Le PDF et le eBook sont disponibles GRATUITEMENT ๐ฅณ๐ www.quae.com/produit/1988... Editions Quae
Long first day but itโs interesting being at an AI conference, my first!
Talk highlight โ Decoding Sperm Whale Communication by Orr Paradise.
And of course the presentation on BRUVs for the hackathon!
My first time at SALA, summit of AI in Latin America. So much AI, so much espaรฑol ๐๐ฝ
Excited to help with the hackathon today with Cesar Peรฑaherrera Palma and Jean Lรณpez from MigraMar www.migramar.org/en/index
Once in a while I take my group out to dinners or lunch. As an appreciation of them and a chance to hang together. Weโve got ๐ฒ๐ฝ๐ฆ๐ท๐ง๐ท๐จ๐ฆ๐ฒ๐บ covered!
All Bayesian, except for the postdoc thatโs gone rogue and only does AI for ecological monitoring. ๐
Call for abstracts is now open for the next International Statistical Ecology Conference (ISEC) taking place on January 8-15, 2027, in Mรฉrida, Mรฉxico!
Abstract submission form can be accessed through the website: statisticalecology.org
Deadline: May 1, 2026 (anywhere on earth)
๐ฆ๐ฒ๐ฝ๐๐ฉ๐ฝโ๐ป
Book cover for https://oliviergimenez.github.io/banana-book/
๐ New book out soon !
Iโm excited to share that ๐๐๐ฒ๐๐ฌ๐ข๐๐ง ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐จ๐ ๐๐๐ฉ๐ญ๐ฎ๐ซ๐-๐๐๐๐๐ฉ๐ญ๐ฎ๐ซ๐ ๐๐๐ญ๐ ๐ฐ๐ข๐ญ๐ก ๐๐ข๐๐๐๐ง ๐๐๐ซ๐ค๐จ๐ฏ ๐๐จ๐๐๐ฅ๐ฌ: ๐๐ก๐๐จ๐ซ๐ฒ ๐๐ง๐ ๐๐๐ฌ๐ ๐๐ญ๐ฎ๐๐ข๐๐ฌ ๐ข๐ง ๐ ๐๐ง๐ ๐๐๐๐๐๐ is being published by Chapman & Hall / CRC Press
Hope itโs useful to students, researchers, and practitioners
#StatisticalEcology #NIMBLE
Nearly 15 years ago, I discovered @isec-stats-ecol.bsky.social as a first year PhD student and knew it was my dream conference/community.
Havenโt missed one since & now I get to bring it to Mรฉxico. Que padre unir mi comunidad acadรฉmica y mi gente ๐ฒ๐ฝ ๐
bsky.app/profile/isec...
BTW, ISEC 2027 call for abstracts now open: statisticalecology.org
Organizing a conference can be a bit stressful, but sending mass emails when my cat likes to jump on my keyboard just as I'm about to hit send....complete panic.
The culprit:
ISEC 2027 will offer 14(!) workshops over the course of 2 days, Jan 8-9, 2027.
Incredibly excited & thankful to all of our instructors. ๐ฆ๐ฒ๐ฝ๐๐ฉ๐ฝโ๐ป
Check out the workshop titles on the main page, statisticalecology.org, and full information here: statisticalecology.org?page_id=742
๐ฅ๐ฅ StanCon 2026 Oral Presentation Submission Deadline on the 25th of February ๐ฅ๐ฅ
discourse.mc-stan.org/t/stancon-20...
A lot of Bayesian workshops โ I would like to state publicly that I didnโt plan it this way, itโs just a happy coincidence ๐น
The fifth annual Cherry Blossom Prediction Competition is open!
statmodeling.stat.columbia.edu/2026/02/11/t...
Slowly populating the ISEC website with accepted workshop info, if anyone wants to take a peek ๐ statisticalecology.org
Official announcements & full info coming next week.
This conference looks incredible. Major FOMO.
ISEC 2027 is going to be starting strong!
New special feature!๐๐งช
Here, our guest editors research at the cutting edge of the AIโecology interface, focusing on work that advances the state of both fields beyond proof-of-concept to true interdisciplinary insight.
Read the full collection๐๏ธ
buff.ly/GbMxxmW
LISTEN: Dr. Marie Auger-Methe talks to @cbcquirks about the state of Canadian #polarbears. https://www.cbc.ca/radio/quirks/jan-31-polar-bears-thrive-9.7068518 Image by Monica Max West/Pixabay
LISTEN: Dr. Marie Auger-Methe talks to @CBC's Quirks & Quarks about the state of Canadian #polarbears.
www.cbc.ca/radio/quirks...
Ever wondered how to use supra-Bayesian approach in species distribution modeling (SMDs). Well we present a framework for it and exemplify it with real data on fish reproduction area estimation.
nsojournals.onlinelibrary.wiley.com/doi/10.1002/...
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StanCon 20206 International Conferene on Bayesian Inference and Probabilistic Programming 17-21 August, 2026 Uppsala, Sweden
Three weeks time to submit contributed talk abstract to StanCon 2026! You can also submit a poster abstract early, if you need to make early travel plans. There will be travel and accommodation support for students, too!
More information about submitting at www.stancon2026.org/abstracts/
#EnviBayes are pleased to have teamed up with LACSC, TIES, and ENVR to co-organise the International Conference on Statistics, Data Science, and Computing for the Environment and Climate Change: 07 Dec 2026 - 11 Dec 2026 at UNAM, Mexico City. See website for details:
isi-web.org/event-detail...
The Greening of Religion Hypothesis posits that faith communities are in a process of transformation to become environmentally responsible. This project introduces a data science-driven framework to systematically measure such action across thousands of places of worship. $100,00 DATA SCIENCES INSTITUTE (DSI) CATALYST GRANT Meredith Franklin. Tanhum Yoreh. Vianey Leos Barajas A DATA SCIENCE FRAMEWORK FOR QUANTIFYING ENVIRONMENTAL ACTION IN FAITH COMMUNITIES
The most unexpected collaboration thus far in my career but itโs fun. We just got a grant to work on:
โA data science framework for quantifying environmental action in faith communitiesโ
**Part 1: From Bayesian inference to Bayesian workflow** 1. Bayesian theory and Bayesian practice 2. Statistical modeling and workflow 3. Computational tools 4. Introduction to workflow: Modeling performance on a multiple choice exam **Part 2: Statistical workflow** 5. Building statistical models 6. Using simulations to capture uncertainty 7. Prediction, generalization, and causal inference 8. Visualizing and checking fitted models 9. Comparing and improving models 10. Statistical inference and scientific inference **Part 3: Computational workflow** 11. Fitting statistical models 12. Diagnosing and fixing problems with fitting 13. Approximate algorithms and approximate models 14. Simulation-based calibration checking 15. Statistical modeling as software development
**4. Case studies** 16. Coding a series of models: Simulated data of movie ratings 17. Prior specification for regression models: Reanalysis of a sleep study 18. Predictive model checking and comparison: Clinical trial 19. Building up to a hierarchical model: Coronavirus testing 20. Using a fitted model for decision analysis: Mixture model for time series competition 21. Posterior predictive checking: Stochastic learning in dogs 22. Incremental development and testing: Black cat adoptions 23. Debugging a model: World Cup football 24. Leave-one-out cross validation model checking and comparison: Roaches 25. Model building and expansion: Golf putting 26. Model building with latent variables: Markov models for animal movement 27. Model building: Time-series decomposition for birthdays 28. Models for regression coefficients and variable selection: Student grades 29. Sampling problems with latent variables: No vehicles in the park 30. Challenge of multimodality: Differential equation for planetary motion 31. Simulation-based calibration checking in model development workflow **Appendices** A. Statistical and computational workflow for Bayesians and non-Bayesians B. How to get the most out of Bayesian Data Analysis
Bayesian Workflow by
Andrew Gelman, Aki Vehtari, @rmcelreath.bsky.social with @danpsimpson.bsky.social, @charlesm993.bsky.social, @yulingy.bsky.social, Lauren Kennedy, Jonah Gabry, @paulbuerkner.com, @modrakm.bsky.social, @vianeylb.bsky.social
(in production, estimated copy-editing time 6 weeks)
A hex sticker with a text that reads Hello Data Science with green, yellow and pink scatterplot points in the background. There is a web address www.hellodata.science
๐ Big news! We just released the first five chapters of our new book, Hello Data Science. It is a fully open-access resource written for beginners. Please help us spread the word! A few points about the book are below ๐
๐ www.hellodata.science
#rstats #datascience #tidyverse
Extinction risk and the spatial patterning of shark, ray and chimaera richness, including hotspots of coastal and deepwater richness, for wide-ranging and endemic species.
Sharks & rays are sentinels of ocean health.
- Global abundance has been fished down by 65%,
- Now 37.5% of species are threatened,
- The current extinction rate is 25โ250 times greater than the background fossil record, with greatest losses in tropical coastal seas. #BiodiversityTargets