Manel Slokom

Full Name
M. Slokom
Email
Manel.Slokom@cwi.nl
Phone
+31 20 592 4030
Room
L330
Department(s)
Human-Centered Data Analytics
Function(s)
Researcher
Manel Slokom

Researcher and data scientist with expertise in responsible AI, including recommender systems, privacy-enhancing technologies (obfuscation, tabular synthetic data generation, and federated learning), and machine learning.

For up-to-date research outcomes and personal updates, please check out my:

I welcome opportunities to brainstorm on the topics mentioned above. Please feel free to reach out at manel.slokom@live.fr.

Publications

All publications

Professional activities

  • Nominated: 1st Prize of the 2024 IAOS Young Statisticians Prizes Manel Sloken, Jel Vankan and Peter-Paul de Wolf (Statistics Netherlands): From COACH to COACH+: Automating Output Checking with Human-in-the-Loop Link to the interview: https://officialstatistics.com/news-blog/interviews-winners-2024-iaos-young-statisticians-prizes
  • Speaker: Brinkhof AI Symposium & Internet Thesis Award, 2023. Workshop on responsible machine learning and recommender systems. Link: https://www.brinkhof.com/en/insight/brinkhof-ai-symposium-internetscriptieprijs-winnaar-bekend/
  • Reviewer: TheWebConference, ACM RecSys, ACM TIST, ACM TOIS, BIAS, PPAI, Normalize, SURE, IR4Good
  • Contributor: White Paper-Toward Practical Anonymity: A White Paper on Privacy Risk, Metrics, and Governance in Synthetic Data Contribution to the chapter on Fairness Evaluation, 2024. Link: https://drops.dagstuhl.de/storage/04dagstuhl-reports/volume14/issue05/24211/DagRep.14.5.58/DagRep.14.5.58.pdf
  • Visiting Researcher: One Week Visit to CEDAR Group at INRIA Saclay (Nov 2024) Title: How to diversify any personalized recommenders? link: https://team.inria.fr/cedar/manel-slokom-how-to-diversify-any-personalized-recommenders/
  • Speaker: Synthetic Data for Fairness and Privacy (Nov, 2024) Session on Debiasing Data & Assessing Fairness Duo talk – Synthetic Data in Practice: Use cases and innovations from Statistics Netherlands Link: https://syntheticdatafairness.wordpress.com/debiasing/

Current projects with external funding

  • AI, Media & Democracy Lab (ELSA Lab)