Video presentation for the paper “Affirmative Action Policies for Top-k Candidates Selection – With an Application to the Design of Policies for University Admissions”, by Michael Mathioudakis, Carlos Castillo, Giorgio Barnabo, and Sergio Celis. ACM/SIGAPP Symposium on Applied Computing (SAC2020).
The University of Helsinki has offered a ‘three-year grant’ (150k euros) for the group’s research on machine learning systems.
Laura Huuskonen’s project “Global Newsosphere: Network of Citations and Sources” has received a grant from the Media Industry Research Foundation of Finland.
My blogpost on our recent work on university admissions is up on HUMAINT’s website.
The Academy will fund the project ‘Model Management Systems (MLDB)’, following a consortium application with Prof. Aristides Gionis from Aalto University. The funding for my research group is 400,000€. Link to decision: aka.fi/mldb.
The news is particularly exciting, as I aim to expand my research to machine learning systems – besides topics I’ve usually worked on. To get some idea about the research we plan to do, see this pre-print https://arxiv.org/abs/1904.00079 (currently under submission).
To see the lists of funded projects in natural sciences and engineering, follow these links: aka.fi/fundedprojects-1 and aka.fi/fundedprojects-2. Three applications from the Computer Science department at the University of Helsinki were successful.
Last week, I visited the EU Commission’s JRC Seville, where Carlos Castillo and I presented our ongoing work on algorithmic fairness.
A preliminary version of our work is posted on arXiv:
Affirmative Action Policies for Top-k Candidates Selection, With an Application to the Design of Policies for University Admissions, by M. Mathioudakis, C. Castillo, G. Barnabo, S. Celis https://arxiv.org/abs/1905.09947.
I acted as examiner to 6 PhD defenses at the University of Pisa. Thanks to Prof. Paolo Ferragina for the hospitality!