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Posts tagged #Dataskyence

“It’s (already) in the weights.”-Peter Steinberger. #DataSkyence

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The Short Course on Methods for Multiomics Data Analysis

Learn how to:
✔️ Navigate #CommonFund data resources
✔️ Select and implement multiomics analysis methods
✔️ Integrate datasets across multiple data types
✔️ Apply workflows that support reproducible research
✔️ Manage conflict within research teams

Apply now: www.jax.org/education-an...

#DataSkyence

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Portrait of George Boole with a quote: "No matter how correct a mathematical theorem may appear to be, one ought never to be satisfied that there was not something imperfect about it until it also gives the impression of being beautiful."

Portrait of George Boole with a quote: "No matter how correct a mathematical theorem may appear to be, one ought never to be satisfied that there was not something imperfect about it until it also gives the impression of being beautiful."

George Boole, who died #OnThisDay in 1864, was an English mathematician whose work laid the foundation for modern computing. Boole developed Boolean algebra, a system of logic that underpins digital circuits and computer science, making today’s digital world possible.

#dataskyence #ComputerSkyence

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The DoubleML rhino shouting out "User Survey", available via https://forms.gle/HjZsWgrF5UEFUyDX9

The DoubleML rhino shouting out "User Survey", available via https://forms.gle/HjZsWgrF5UEFUyDX9

📣 Announcing the First DoubleML User Survey! 📊

We’re excited to launch the first DoubleML User Survey! We’d love to hear from all prospective, new, or experienced users of DoubleML in Python or R.

🔗Please take part here: forms.gle/HjZsWgrF5UEF...

#EconSky #CausalSky #dataSkyence #Python #R

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Multimedia data-driven customer churn prediction using an enhanced extreme learning machine - Scientific Reports Scientific Reports - Multimedia data-driven customer churn prediction using an enhanced extreme learning machine

Need some good #datascience #churn brainfood for the holiday weekend? There's a neat new research paper in Nature Magazine ScientificReports on using Extreme Learning nets to predict #churn! #dataskyence www.nature.com/articles/s41...

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Database Tutorials Explore how to use BLAST, cBioPortal, PolyPhen-2, and UniProt - perfect for both classroom learning and independent projects.

👩‍🏫 💻 STEM educators: How can your students gain experience with real-world #genomics data?

The Database Tutorials module provides guidance for using #BLAST, #cBioPortal, #PolyPhen-2 and #UniProt in classrooms or independent projects: www.jax.org/education-an...

#Dataskyence #EduSky

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Flyer for Biomedical Data Science in Context program. See website for more information at www.jax.org/bdsic.

Flyer for Biomedical Data Science in Context program. See website for more information at www.jax.org/bdsic.

🖥️🧬 Through a combination of technical training, mentorship and career planning, you’ll come away with:

✅ A solid foundation in biomedical data science
✅ Confidence in your computational thinking
✅ A personalized plan for your next academic or career move

#DataSkyence

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Last day to register for our BENA Skills Camp in September in Berlin! #EconSky #EconConf #dataSkyence #CausalSky

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How insane is it that openai asks for BIOMETRIC information for using its API with the o3 model?! Asking me to take a selfie and upload personal documents. Anthropic, here I come #dataskyence

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White graphic with blue along the bottom reads, ""The afternoon workshops offered extensive hands-on experience, allowing me to seamlessly incorporate these skills into my existing workflows and behavioral analysis pipelines." Tushar Arora | Postdoctoral Fellow | Albert Einstein College of Medicine | The Jackson Laboratory."

White graphic with blue along the bottom reads, ""The afternoon workshops offered extensive hands-on experience, allowing me to seamlessly incorporate these skills into my existing workflows and behavioral analysis pipelines." Tushar Arora | Postdoctoral Fellow | Albert Einstein College of Medicine | The Jackson Laboratory."

Join @jacksonlab.bsky.social's #MachineLearning course for hands-on training & expert lectures on:

🔬 Experimental workflows
📈 Analysis tools
🐁 Animal tracking algorithms
📊 Statistical modeling

Build skills in quantitative #BehSci analysis & #DataSkyence: www.jax.org/education-an...

#Neuroskyence

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If I never do speaker annotation again it'll be too soon #dataSkyence

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2025 Short Course on the Application of Machine Learning for Automated Quantification of Behavior - The Jackson Laboratory This JAX Short Course will focus on the fundamentals of quantitative behavior analysis, machine learning, and data science, and will be aimed at researchers from the fields of neuroscience, genetics, ...

💡 Research at the intersection of data science, machine learning and behavior analysis?

This @jacksonlab.bsky.social Short Course offers expert lectures and hands-on training to help you apply #MachineLearning methods to your research studies: www.jax.org/education-an...

#Dataskyence #Neuroskyence

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Consultation: Commission Guidelines to Clarify the Scope of the General-purpose AI Rules in the AI Act

#datascience #dataskyence #art #artist #literature
Communities, please have talks and read up about AI and AI related abuses and copy-right problems, then fill out the EU consultation, hopefully we can limit the damage AI will cause in the future with this! ec.europa.eu/eusurvey/run...

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left panel :"don't make me tap the sign"
right panel: "cite software packages in your methods section"

left panel :"don't make me tap the sign" right panel: "cite software packages in your methods section"

I would save time by leaving this comment in my peer review template instead of adding it in every time

#AcademicSky #PsychSkiSky #DataSkyence #rstats

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#rstats #dataskyence

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Screenshot of an interactive world map using the Robinson projection showing 2023 aid commitments in each country

Screenshot of an interactive world map using the Robinson projection showing 2023 aid commitments in each country

Western Europe mapped with a cropped Robinson projection with labels for each country

Western Europe mapped with a cropped Robinson projection with labels for each country

Egypt mapped with a cropped Robinson projection with labels for each country

Egypt mapped with a cropped Robinson projection with labels for each country

Table of contents for the post: 

Working with map data
Get map data
Maps and projections with Observable Plot
Built-in projections
Other projections
Filtering map data and adjusting projections
Removing elements
Quick and dirty cheating method: change the width or height
Built-in projections and domain settings
Other projections and .fitExtent()
Arbitrary areas and .fitExtent()
Working with USAID data
Get USAID data
Connect USAID data to the map data
Improving the map
Fixing labelling issues
Some final tweaks
The full game: Complete final code

Table of contents for the post: Working with map data Get map data Maps and projections with Observable Plot Built-in projections Other projections Filtering map data and adjusting projections Removing elements Quick and dirty cheating method: change the width or height Built-in projections and domain settings Other projections and .fitExtent() Arbitrary areas and .fitExtent() Working with USAID data Get USAID data Connect USAID data to the map data Improving the map Fixing labelling issues Some final tweaks The full game: Complete final code

New blog post! After archiving USAID data last week, I decided to play around with and recreate parts of the ForeignAssistance dot gov dashboard with #QuartoPub and #ObservableJS. I learned a ton about D3 projections and making pretty Javascript plots #dataskyence www.andrewheiss.com/blog/2025/02...

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Manjari Narayan on Substack I hadn’t heard of this RFI from @John Wilbanks at Astera. A productive place for statistical machine learning who work in biostatistics to respond to this call for requirements in microbial machine l...

If you have thoughts on technical requirements on data collection and experimental design to improve microbial machine learning, @asterainstitute.bsky.social wants to hear from you

substack.com/@manjarinara...

#StatsSky 🧬🖥️ #Dataskyence

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Got the gem in the mail the other day and dove right in rather than post about it.

One chapter in and I have to say: It is worth every penny! The combination of graphics, explanations and code is valuable to those of us experienced with LLMs and those not so much!

#dataSkyence #booksky

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Orange graphic with an illustrated person wearing a white Jackson Laboratory lab coat working on a laptop and the words, "FAIR data" across the top left of the graphic.

Orange graphic with an illustrated person wearing a white Jackson Laboratory lab coat working on a laptop and the words, "FAIR data" across the top left of the graphic.

📊 What does it mean for data to be FAIR?

Discover the four guiding #FAIRdata principles in less than 15 minutes and learn why you should apply them to your biomedical research in @jacksonlab.bsky.social's online course: education.learning.jax.org/fair-data-pr...

#DataSkyence

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Plot showing respondent demographic proportions compared to national proportions, overlaid on variable-specific regions of practical equivalence (ROPEs)

Plot showing respondent demographic proportions compared to national proportions, overlaid on variable-specific regions of practical equivalence (ROPEs)

Table showing sample characteristics compared to nationally representative Current Population Survey (CPS) estimates, with probability that the sample is equivalent to the national proportion

Table showing sample characteristics compared to nationally representative Current Population Survey (CPS) estimates, with probability that the sample is equivalent to the national proportion

Also, it’s important to check the variable details to check for availability. While basic demographic variables like age, sex, marital status, etc. are available in both the monthly surveys and in the annual ASEC, more specialized variables are not.

Variables related to philanthropy and volunteering are only available in September (since they’re part of a special CPS Volunteer Supplement), and only in some years:

[Screenshot from the IPUMS website showing the availability of the volunteer status CPS variable]

Also, it’s important to check the variable details to check for availability. While basic demographic variables like age, sex, marital status, etc. are available in both the monthly surveys and in the annual ASEC, more specialized variables are not. Variables related to philanthropy and volunteering are only available in September (since they’re part of a special CPS Volunteer Supplement), and only in some years: [Screenshot from the IPUMS website showing the availability of the volunteer status CPS variable]

Contents for the post

Nationally representative demographic data
Accessing US Census data
ACS
CPS (and others!)
Getting started
Getting CPS data from the IPUMS website
Finding variables
Selecting samples
Downloading the data
More reproducible alternative: using the IPUMS API
Loading CPS data
Summarizing CPS data
Weighting
Calculating population-level proportions
Summarizing sample proportions
Testing sample vs. population proportions frequentist-ly
One-sample proportion test for age
One-sample proportion test for volunteering
Proportion tests and differences for everything all at once
Testing sample vs. population proportions Bayesian-ly
ew null hypothesis significance testing
Modeling proportions with a binomial distribution
Working with the posterior
The region of practical equivalence (ROPE)
Bayesian proportion test for volunteering
Posterior proportions, differences, and ROPEs for everything all at once

Contents for the post Nationally representative demographic data Accessing US Census data ACS CPS (and others!) Getting started Getting CPS data from the IPUMS website Finding variables Selecting samples Downloading the data More reproducible alternative: using the IPUMS API Loading CPS data Summarizing CPS data Weighting Calculating population-level proportions Summarizing sample proportions Testing sample vs. population proportions frequentist-ly One-sample proportion test for age One-sample proportion test for volunteering Proportion tests and differences for everything all at once Testing sample vs. population proportions Bayesian-ly ew null hypothesis significance testing Modeling proportions with a binomial distribution Working with the posterior The region of practical equivalence (ROPE) Bayesian proportion test for volunteering Posterior proportions, differences, and ROPEs for everything all at once

New blog post! Here's an #rstats guide for how to (1) get CPS data from IPUMS and (2) compare sample and population proportions both frequentistly and Bayesianly with {brms} (with ROPEs!), and (3) make pretty plots and tables #econsky #polisky #dataskyence www.andrewheiss.com/blog/2025/01...

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These two books, by @anilananth.bsky.social and @tomchivers.bsky.social, are the first two books in a very long time that I read in their entirety without significant pause or other diversion along the way.

I cannot recommend them enough!

#booksky #dataSkyence

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The causal part:

If you are a #causal #DAG enthusiast, you'll finde some causal diagrams and a discussion on causal aspects of demand analysis in the paper too 😀

#CausalSky #dataSkyence

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🧪 In your field, tell me about an experiment or empirical paper broadly construed you find beautiful!

Inspired by a paper from the #PhilSci feed. #neuroskyence #dataskyence #MLSky #StatSky 🧬💻

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My highlights from Axios AI+SF yesterday:
1. EarthSpecies.org - AI to communicate with animals! ❤️
2. Databricks CEO Ali Ghodsi says #AI "definitely a bubble" after receiving a $62B valuation in Series J 🤯
3. Waymo claims #driverlesscars are already safer than human drivers 🤔
#dataskyence

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(1) This blog post captures why I generally don't like multi-verse analyses.
- They take no position on what constitutes valid and invalid analyses; and
- All the analyses don't even correspond to the learning the same estimand for a given task.

#MetaSky #StatSky #dataskyence

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econometrics question

is there a specific argument why the residuals ought to have a mean of zero in single-variable time series models at all? (given they aren't distributed normally, which can just be transformed)

#dataskyence #econsky #econometrics

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Google CEO Sundar Pichai says AI progress will get harder in 2025 because 'the low-hanging fruit is gone' Google CEO Sundar Pichai says that he doesn't believe there is an AI "wall" but says new breakthroughs are needed.

Google says that #LLMs have plateaued and need new breakthroughs - just don't call it "hitting a wall" 😉 #ai #genAI #aihype #dataskyence #neuroai www.businessinsider.com/google-ceo-s...

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𝐅𝐈𝐍𝐀𝐋 𝐂𝐀𝐋𝐋 𝐟𝐨𝐫 𝐒𝐔𝐁𝐌𝐈𝐒𝐒𝐈𝐎𝐍𝐒

Data Transparency Special Issue call is closing on Friday 13th December

Do get in touch if you would like to submit, but may miss the deadline - contact@ijpds.org

ijpds.org/calls/data-t...

#DataTransparency #OpenCall #EpiSky #PublicHealth #Sociology #dataSkyence

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The chain of inference in mediation is pernicious and fraught with peril. A similar fallacy occurs in basically all research of biomarkers as intermediate clinical endpoints and most of biomedical science is asleep on this front.

#neuroskyence #CausalSky #Medsky #dataskyence

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here's what i spent today making for fun: Victoria's year 9 average NAPLAN score of a high school versus its suburb's median house price, with some outliers and extrema labelled

disclaimers below

#NAPLAN #dataSKYence #Econsky

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