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ACM charges 15 dollar for reading Diane Kelly's one page #ICTIR2019 keynote abstract. It even charges me, a "professional member" 10 dollar... 😞

Merry Christmas from Infomation Modelling and Databases!!

3rd annual ACM FAT Conference on fairness, accountability, and transparency is chaired by Carlos Castillo and
Mireille Hildebrandt

fatconference.org/2020/

Hosein Azarbonyad presents approaches for transferring a model for Commitment Detection in Email from one domain to another. #DIR2019

ryenwhite.com/papers/Azarbonya

Nice idea by Rennings, Moraes, and Hauff: axiomatic datasets constructed specifically to measure what axioms (neural) models adhere to:

chauff.github.io/documents/pub #DIR2019

Dietmar Jannach asks the right questions: what should we really measure when researching recommender systems? More Kaggle-style leaderboard chasing? #DIR2019

tinyurl.com/dir2019keynote

Milan Petkovic awards the Philips MSc thesis award for Data Science and Artificial Intelligence in Healthcare to Jan Trienes. Congrats @jantrienes !

"Discrimination, Artificial Intelligence and Algorithmic Decision-Making" writen by Frederik Zuiderveen Borgesius for the Anti-discrimination Department of the Council of Europe.

rm.coe.int/discrimination-arti

I wonder how many publications that are eligible for free #OpenAaccess in the Springer Compact agreement (with Austria, Finland, Hungary, Netherlands, Poland, Qatar, Sweden, UK and MPI in Germancy ) are ACTUALLY open access... Anyone keeping scores?

springer.com/gp/open-access/sp

I am shocked by the death of former colleague Arjen Hoekstra who I met at the climate strike of 27 September. Arjen did really important and influential research on water management, and recently received an ERC advanced grant.

utwente.nl/nieuws/2019/11/1789

The #Nanquanu Institute does R&D into collective intelligence systems for a more creative, ecologically balanced and fair society.

nanquanu.org

Jaap Kamps from his ivory tower: Neural reranking is like using a T-Ford for most of the traveling, and a Ferrari for the last mile... Goal: Ferrari all the way; Means: make models sparse. #SIKS

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