Robert Gieseke

@openclimatedata
491 Followers
294 Following
715 Posts
GitHub - rgieseke/shortcountrynames: Data Package with short country names

Data Package with short country names. Contribute to rgieseke/shortcountrynames development by creating an account on GitHub.

GitHub
Wie genial ist bitte der PDF-Reader von Zotero 8 Beta? Selbst eigentlich völlig unbenutzbare Literaturverweiskonventionen werden durch die automatisierte Verlinkung und die Hover-Funktion nutzbar. I love it!
I was so exasperated by the Donald Knuth thing the other day that I wrote this on a post about it:
There is a rhetorical move here supporting a metaphysical claim that conflates a human activity with the activity of a machine. This, again, is not scientific; it also demands explanation and justification that goes beyond presenting evidence. If someone rides a bicycle down the road, nobody says that the bicycle walked down the road. If someone flies a simulated plane from Boston to Chicago in a flight simulator, nobody says the person traveled to Chicago. Yet somehow when people think with the aid of a certain kind of AI machine, we're meant to refer to that as the machine doing the thing humans do (thinking, solving a problem, inventing, or what have you). We're meant to believe that what the machine is doing is not meaningfully different from what humans do despite the obvious layers of metaphor involved. This conflation is not scientific, it's metaphysical. It demands an explanation and justification that goes beyond just presenting evidence because it is making a claim about how the world works or is structured.
Using Quarto to Write a Book

I’ve spent the last couple of months revising my Data Visualization book for a second edition that, ideally, will appear some time in the next twelve months. As with the first edition, I’ve posted a complete draft of the book at its website. The production process hasn’t started yet, so it’s not ready to pre-order or anything, but the site has a one-question form you can fill out that asks for your email address if you’d like to be notified with one (and only one) email when it’s available. A lot has changed since the first edition, reflecting changes both in R and ggplot specifically, and in the world of coding generally. I may end up highlighting some of those new elements in other posts. But here, I want to focus on some nerdy details involved in getting the book to its final draft. I’ll discuss Quarto, the publishing system I used, its many advantages, and its current limits with respect to the demands I made of it.

Every developer or dev team can relate -

#dev #development #Tech #techdev

I think that Lang's book "Cheating Lessons" (https://isbnsearch.org/isbn/9780674724631), which looks at the research on _why_ students cheat, now has a lot to offer people who are thinking about AI in education - it was written before LLMs hit the scene, but its discussion of misaligned incentives, feedback loops, and the social positioning of actions is thought-provoking.
ISBN 9780674724631 - Cheating Lessons Learning from Academic Dishonesty

Cheating Lessons Learning from Academic Dishonesty - Information and prices for ISBN 9780674724631, ISBN 0674724631

Hurra! @fuzzyleapfrog und ich haben den Preis der Österreichischen Forschungsgemeinschaft für Wissenschaftsjournalismus für unseren Podcast "Das Klima" gewonnen. Ausgezeichnet worden sind unsere Folgen über den Zweiten Österreichischen Sachstandsbericht zum Klimawandel. Wir freuen uns sehr über den Preis - und noch mehr freuen würden wir uns, wenn sich die Erkenntnisse aus der Klimaforschung auch in der Klimapolitik wiederfinden würden.

https://www.ots.at/presseaussendung/OTS_20260303_OTS0130/preis-der-oesterreichischen-forschungsgemeinschaft-fuer-wissenschaftsjournalismus-2026

Preis der Österreichischen Forschungsgemeinschaft für Wissenschaftsjournalismus 2026

Die Österreichische Forschungsgemeinschaft gratuliert den diesjährigen Preisträger:innen des Preises der ÖFG für Wissenschaftsjournalismus!

OTS.at
Reading David Hogg on LLMs in astrophysics should be mandatory. https://arxiv.org/abs/2602.10181 (edited with link)
Why do we do astrophysics?

At time of writing, large language models (LLMs) are beginning to obtain the ability to design, execute, write up, and referee scientific projects on the data-science side of astrophysics. What implications does this have for our profession? In this white paper, I list - and argue for - a set of facts or "points of agreement" about what astrophysics is, or should be; these include considerations of novelty, people-centrism, trust, and (the lack of) clinical value. I then list and discuss every possible benefit that astrophysics can be seen as bringing to us, and to science, and to universities, and to the world; these include considerations of love, weaponry, and personal (and personnel) development. I conclude with a discussion of two possible (extreme and bad) policy recommendations related to the use of LLMs in astrophysics, dubbed "let-them-cook" and "ban-and-punish." I argue strongly against both of these; it is not going to be easy to develop or adopt good moderate policies.

arXiv.org
[39c3] Greenhouse Gas Emission Data: Public, difficult to access, and not always correct

Which factory in my city is the largest emitter of CO2? Which industrial sector is responsible for the largest share of a country's contribution to climate change? It should not be difficult to answer these questions. Public databases and report...

39c3
I should check usesthis.com more often! Led me to the very interesting https://fossacademic.tech (MD FTW!) via the original page at https://usesthis.com/interviews/robert.w.gehl/
Blog

My first full-time academic job was at the University of Utah. Utah is, of course, very famous. No, not because of cold fusion or teaching Ted Bundy about the law.

FOSS Academic