Nicola Romanò @nicolaromano@social.cleverlibre.org

Do you read people's profile info before you follow them? Please boost for a bigger sample size, because I'm really curious about this

Ok. So recently, #Tesla had published an "Impact Report" which contained a slide presenting some "data" that their #Autopilot and #FSDBeta products "enhance safety".

And one article and one Twitter thread caught my eye in scrutinizing these numbers.

https://www.forbes.com/sites/bradtempleton/2023/04/26/tesla-again-paints-a-very-misleading-story-with-their-crash-data/

https://twitter.com/NoahGoodall/status/1651323363099553793

While the analyses and arguments in this article and thread are not necessarily wrong, there are more fundamental issues here that need to be surfaced in my view... so let's take a look.

Calling all Kiwis. Please listen to these recordings https://huggingface.co/datasets/google/fleurs/viewer/mi_nz/train. If you recognize any of those voices, please help us get in contact with these speakers as we're trying to understand HOW this data was collected. Why is this an issue? Read https://blog.papareo.nz/whisper-is-another-case-study-in-colonisation/

Me: Did you know that cars produce nitric oxide as they burn fuel

You: NO?

Me: Yeah nitric oxide.

#ChemistryJokes

TIL: lace cards

It’s a computer punch card with every possible spot punched out, so what remains is a flimsy filamentous net of paper that instantly tears and jams up the card reader.

Old-school denial of service attack.

https://en.m.wikipedia.org/wiki/Lace_card

The Followgraph app for Mastodon is really helpful - helped me to me expand my network in a very meaningful way in only a few minutes:

https://followgraph.vercel.app

Thanks to @gabipurcaru for creating this app. I like how the ecosystem is evolving; would be nice to have a plugin mechanism for such apps.

When data are supposed to be shared "on request", whose requests tend to be ignored?

New study: Requestors with Chinese names are ignored more often than those with Anglo-Saxon names. Within the group with Chinese names, those with male names are ignored more often than those with female names.
https://www.nature.com/articles/s41597-023-02129-8

Working on updating my textbook (https://lakens.github.io/statistical_inferences/) to Quarto. In this process, incorporating webexercises (https://psyteachr.github.io/webexercises/) by @debruine and @dalejbarr
so that you will be able to answer the questions online, and receive feedback (a much requested feature).

@drhettie Tenure became my super power. It allowed me to speak up, especially on behalf of my colleagues who were not on the tenure track or who were in vulnerable positions. Tenure gave me the freedom to pursue research questions that interested me. It protected me (to a degree) from academic political BS. I was always aware of and grateful for that rare privilege.

#HigherEd #Tenure

Large, creative AI models will transform lives and labour markets

https://www.economist.com/interactive/science-and-technology/2023/04/22/large-creative-ai-models-will-transform-how-we-live-and-work

Discussions: https://discu.eu/q/https://www.economist.com/interactive/science-and-technology/2023/04/22/large-creative-ai-models-will-transform-how-we-live-and-work

#compsci #machinelearning

Call for ideas "Scholarship and Teaching and Learning: Links to disciplinary research"!

Have you ever done #SoTL-project?

We are looking for individual university teachers/staff who are interested in describing the relationship between their research and their SoTL activities in a book chapter (German or English).

All information in the #call: https://umfragen.uni-paderborn.de/index.php/819993?newtest=Y&lang=en

Please share!

#SoTL #Scholarshipofteachingandlearning #highereducation
@sotl.social @hul @dghd_info

How can #MachineLearning help you to analyze your microscopy images?

Find out at the "Deep Learning for Microscopy Image Analysis" course at the MBL in Woods Hole this summer!

Applications are due on:
🚨 May 18 🚨

https://www.mbl.edu/education/advanced-research-training-courses/course-offerings/dlmbl-deep-learning-microscopy-image-analysis

To make the course accessible to a wide range of participants from diverse labs, the course is again free of tuition (including travel ✈️and housing🏠).

This is thanks to
HHMI and Janelia.Thanks for your generous support! 🙏