Noch eine Woche bis zum Bewerbungsschluss:

Projektkoordinator:in Gutachter:innen-Empfehlungssystem für Zeitschriften (m/w/d), 24 Monate, 75% E13, ab 1.10.

https://www.tib.eu/de/die-tib/karriere-und-ausbildung/stellenangebote/detail/stellenausschreibung-nr-18-2026

Aufstockungsoptionen prüfen wir gerne. Das wird ein spannendes Projekt - gerne anschauen, weiterleiten. Stehe für Nachfragen zur Verfügung.

#OpenAccess #RecommenderSystems #ScholarlyCommunication

Projektkoordinator:in Gutachter:innen-Empfehlungssystem für Zeitschriften (m/w/d)

Stellenausschreibung Nr. 18/2026; Bewerbungsfrist: 10.06.2026

A Job I Like or a Job I Can Get: Designing Job #RecommenderSystems Using Field Experiments https://d.repec.org/n?u=RePEc:arx:papers:2603.21699&r=&r=exp
"… welfare-optimal RSs rank vacancies by an expected-surplus index, and shows why rankings based solely on utility, #hiring probabilities, or observed application behavior are generically suboptimal
… Algorithms informed by the model-implied optimal ranking substantially outperform existing approaches and perform close to the welfare-optimal benchmark.

While the joint application-and-hiring probability is not welfare-optimal in theory, it emerges as a strong empirical benchmark in our setting. This result is structural rather than algorithmic: application probabilities are empirically small and remain so even under recommendation rules designed to stimulate applications
… rankings based solely on application behavior are theoretically fragile
… Machine-learning tools can substantially improve matching outcomes, but only when embedded in a framework that defines the economic objective and disciplines behavioral assumptions with experimental evidence. Without such a framework, RSs optimized for observable behaviors may perform well on predictive metrics yet remain misaligned with welfare-relevant outcomes."
#LaborMarkets #jobtech #socialWelfare #ExperimentalEcon

📢 Fantastic news from the Digital Science Center! 📢

The open‑access paper “Maximal Transparency for Online Recommender Systems” is out in Philosophy & Technology. A truly interdisciplinary effort across philosophy, bioinformatics, mathematics, computer science, and law.

Read the full article here: https://link.springer.com/article/10.1007/s13347-026-01084-7

#RecommenderSystems #Transparency #AIEthics #OpenAccess #InterdisciplinaryResearch #Philosophy #Technology #EUAIAct
1/5

Two teams from LIPN will present their joined work at IPMU 2026 👏.
Congratulations to Amal Beldi and Louenas Bounia for their work on Uncertainty-Aware Contextual Recommendation under Possible Worlds Semantics!
This paper proposes a probabilistic framework for uncertainty-aware contextual recommendation grounded in probabilistic database semantics.
#LIPN #RecommenderSystems #DecisionMaking
Future recommendation infrastructures must integrate evaluation protocols, fairness metrics, and reproducible pipelines as first-class design principles—not afterthoughts.
The paper “WarpRec” proposes a framework that unifies academic rigor with industrial-scale recommendation systems, aiming for responsibility, reproducibility, and efficiency at scale.
https://arxiv.org/abs/2602.17442v1
#RecommenderSystems #ResponsibleAI #MachineLearning

I hope other parties will support this common sense measure!

And fair play to the Hope and Courage Collective for the great work that they have been doing on this issue!

My article on @TheJournal goes into more detail on the harms that these toxic algorithms cause: https://www.thejournal.ie/prev/6901718/dvOJnni9c66MA/

#Ireland #IrishPolitics #Algorithms #RecommenderSystems #ToxicAlgorithms #SocialMedia #EUPolitics #Democracy #MentalHealth #Tech #TechRegulation

Opinion: Banning under-16s from social media is a half-measure. We should ban toxic algorithms

Australia is trying to ban teens from social media, but that only scratches the surface as a solution to the problems tech companies are causing us, writes Killian Mangan.

TheJournal.ie

I'm really happy to see political parties beginning to take toxic algorithms seriously!

We must force private, for-profit social media companies to turn off their recommender systems *for everyone* for good - so we can once again regain freedom to choose what we see online, like we had until 2014 when the doom spiral began!

https://www.fm104.ie/news/fm104-news/people-before-bill-targets-toxic-algorithms-harming-children/

#Ireland #IrishPolitics #Algorithms #RecommenderSystems #ToxicAlgorithms #SocialMedia #EUPolitics #Democracy #MentalHealth #Tech #TechRegulation

People Before Bill targets 'toxic' algorithms harming children

FM104

Paige Saunders @paige (rather than Dawn Walker @dawn as I erroneously wrote earlier!) has this great video, 'We Have An Algorithm Problem' at https://video.fedihost.co/w/a1522517-704e-44a3-aa0e-5c4e7d49e7d1, where he says that fediverse users' suspicion of algorithms is completely warranted, but now that we have been able to opt out of algorithmic content where we had zero agency, we need a conversation about what it means to opt in with algorithms under our own control.

#ContentAlgorithms #RecommenderSystems

We Have An Algorithm Problem

PeerTube
"Banning #socialmedia for young people will ignore the incredibly harmful societal effects of modern social media for most of the population…
The most immediate solution is to ban companies from using #recommendersystems entirely (outside a few specific cases); that would restore our freedom to choose what we see online, and at least pause our descent into the years-long spiral towards increased extremism, misinformation, social media addiction & polarisation."
https://www.thejournal.ie/readme/opinion-social-media-ban-australia-go-further-recommender-systems-algorithm-6901718-Dec2025/
Opinion: Banning under-16s from social media is a half-measure. We should ban toxic algorithms

Australia is trying to ban teens from social media, but that only scratches the surface as a solution to the problems tech companies are causing us, writes Killian Mangan.

TheJournal.ie
Opinion: Banning under-16s from social media is a half-measure. We should ban toxic algorithms

Australia is trying to ban teens from social media, but that only scratches the surface as a solution to the problems tech companies are causing us, writes Killian Mangan.

TheJournal.ie