Djoerd Hiemstra @hiemstra@mastodon.utwente.nl

Harde binnenkomer van Ilyaz Nasrullah: "De rot in mijn vakgebied, de informatica, tast de hele samenleving aan."

https://www.trouw.nl/opinie/alleen-al-bij-de-belastingdienst-heeft-de-homo-informaticus-tienduizenden-mensen-kapot-gemaakt~bac718f5/

The Zeta Alpha blog post are really helpful: The TL;DR of the 10 best NeurIPS 2021 papers

https://www.zeta-alpha.com/post/neurips-2021-10-papers-you-shouldn-t-miss

Alice and Eve, Women in Computer Science exhibition:

https://www.aliceandeve.nl/exhibition

Now doing my home work:

Guest lecture by Damiano Spino (for whom it is now midnight) starts with an important statement

Matomo draaien in WordPress. #NoGA

https://nogadata.nl/2021/11/30/matomo-in-wordpress.html

At the #OSF tech meeting: Andreas Hauser from LMU Muenich argues for open, independent indexes to be merged at will, nice.

Register to https://idf.social and get the free IRPhone!

ProjectNoGA https://peertube.tv/videos/watch/9c441c46-6391-4afa-8e6a-954d8cae007d

Nice: Chordify, Instant chords for any song!

https://chordify.net/

Kanidatenlijst BIJ1 in Nijmegen #NieuwePolitiekInEenOudeStad

The Information Modelling & Databases playlist:

https://open.spotify.com/playlist/10zlYyX25dwDYgVY9olkwP

The #FairML book by Barocas, Hardt, and Narayanan

https://fairmlbook.org

Celebrating Bart Jacobs' Stevin Prize

Nice, #You.com, yet another great search engine. It summarizes the best parts of the internet by finding the most relevant apps, customizable by you. No ads.

https://you.com

Algorithmic Fairness by Jon Kleinberg and colleagues

https://www.cs.cornell.edu/home/kleinber/aer18-fairness.pdf

Blacklight found 4 third-party trackers on the Radboud University site, that's more than the average of three found on popular sites. #NoGA

https://themarkup.org/blacklight?url=ru.nl

Re-Organizing the World’s Information: Why we need more Boutique Search Engines

https://sariazout.mirror.xyz/7gSSTJ96SEyvXeljymglO3zN4H6DCgVnrNZq8_2NX1A

Are We Really Making Much Progress? A Worrying Analysis of
Recent Neural Recommendation Approaches (well, from 2019)

https://arxiv.org/pdf/1907.06902.pdf

NLP-progress: Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

http://nlpprogress.com