Mastodawn

Nicola Righetti May 11, 2023

“It’s a bit like seeing a rabbit shape in the clouds and then testing whether all clouds look like rabbits… using the same cloud. I hope you appreciate that you’re going to need some new clouds to test your theory.

Any datapoint you use to inspire a theory or question can’t be used to test that same theory.”

#phacking #statistics #rstats

https://towardsdatascience.com/the-most-powerful-idea-in-data-science-78b9cd451e72

@sociology @communicationscholars @rstats

The most powerful idea in data science - Towards Data Science

If you take an introductory statistics course, you’ll learn that a datapoint can be used to generate inspiration or to test a theory, but never both. Why not? Humans are a bit too good at finding…

Towards Data Science

Nicola Righetti May 11, 2023

Daniel Lakens May 5, 2023

You can now download my free textbook using the download menu button as a 500 page (!) pdf file, or an epub version https://lakens.github.io/statistical_inferences/. But: I consider the html book the main version (with interactive assignments, gifs, shiny apps) so if the pdf is not 100% correct, I probably won't fix it.

Improving Your Statistical Inferences

This open educational resource contains information to improve statistical inferences, design better experiments, and report scientific research more transparently.

Nicola Righetti May 8, 2023

Workshop 8: Generalized additive models

QCBS R Workshop Series

Québec Centre for Biodiversity Science

https://r.qcbs.ca/workshop08/pres-en/workshop08-pres-en.html#1

Workshop 8: Generalized additive models

Nicola Righetti May 7, 2023

Transnational Queer Cultures and Digital Media

Special Issue of Communication, Culture & Critique (September 2024)

Co-Editors: Yener Bayramoğlu, Łukasz Szulc, Radhika Gajjala

Extended Abstracts Deadline (about 1,500 words, excluding references): 1st June, 2023

https://academic.oup.com/ccc/pages/call-for-papers-transnational-queer-cultures-and-digital-media?login=false

Call for Papers

Transnational Queer Cultures and Digital Media Special Issue of Communication, Culture & Critique (September 2024) Co-Editors: Yener Bayramoğlu, Łukasz Sz

Oxford Academic

Nicola Righetti May 6, 2023

Critical Cupcake May 5, 2023

YES!!

Nicola Righetti Apr 22, 2023

Matthias Apr 22, 2023

Language to talk about #uncertainty adopted by British defense. I wonder whether science could adopt some sort of similar language.

#datascience
#bayes

https://www.gov.uk/government/news/defence-intelligence-communicating-probability88

Nicola Righetti Apr 22, 2023

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Aleksandar Tomašević Apr 22, 2023

Python code is available on GitHub: https://github.com/atomashevic/face-of-populism

GitHub - atomashevic/face-of-populism: Code repository for paper: "The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning"

Code repository for paper: "The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning" - GitHub - atomashevic/face-of-populis...

GitHub

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Nicola Righetti Apr 22, 2023

#chatGPT #AI #trust

Nicola Righetti Apr 14, 2023

For now, I believe that #ChatGPT (free version) is good for obtaining information and insights on topics with which one is familiar, so as to be able to promptly identify inconsistencies in the response. Otherwise, the risk of mistaking hallucinations for reality is very high.

Nicola Righetti Apr 10, 2023

GPT as a finite-state Markov chain - Andrej Karpathy #GPT #ai

https://colab.research.google.com/drive/1SiF0KZJp75rUeetKOWqpsA8clmHP6jMg?usp=sharing

Website	https://nicolarighetti.net
GitHub	https://github.com/nicolarighetti
Google Scholar	https://scholar.google.com/citations?user=NNIeFxkAAAAJ&hl=en
LinkedIn	https://www.linkedin.com/in/nicolarighetti79

The most powerful idea in data science - Towards Data Science

Improving Your Statistical Inferences

Workshop 8: Generalized additive models

Call for Papers

GitHub - atomashevic/face-of-populism: Code repository for paper: "The Face of Populism: Examining Differences in Facial Emotional Expressions of Political Leaders Using Machine Learning"

Google Colaboratory