Alberto García Galindo, Mikel Hernáez Arrazola and Matías Ávila Clemente, winners of the DATAI Awards 2024-25

The data Science and Artificial Intelligence Institute (DATAI) has already announced the winners of the DATAI Awards 2024-2025, awards that have the dual goal of encouraging research in this field and promote its projection in society.

The award for the best methodological contribution goes to Alberto García Galindo, with the article "Fair prediction sets through multi-objective hyperparameter optimization".. It sample a novel approach by using modeled prediction and multi-objective optimization techniques in order to adjust hyperparameters and balance efficiency and fairness. It is a well-written article , with reproducible code and data , and rigorous experimentation. The innovation lies in the use of the tools, not in their development.

The award for the best applied contribution was shared between Mikel Hernáez Arrazola and Matías Ávila Clemente. The article Towards a more inductive world for drug repurposing approacheswith Mikel Hernáez Arrazola as the winner. In this article, the authors propose to move from a deductive approach to an inductive paradigm that takes advantage of the representations learned by machine learning to discover new drug-drug interactions (DTI). They also introduce the use of "negative edge subsampling" for in silico validation, which allows the detection of previously unidentified interactions. It is a good conceptual idea, published in a Q1 AI journal (IF 23.9), with 7 citations despite its recent publication in 2025.  

The article by Matías Ávila Clemente, Modelling time series with multiple seasonalities: an application to hourly NO2 pollution levelswhere the authors approach a study on time series with multiple seasonalities that analyzes 15 years of pollution data in Madrid. It is a good applied article , easy to read, with exhaustive experimentation and results transferable to other applications.

The jury was composed of Amparo Alonso Betanzos (Universidade da Coruña), Enrique del Castillo (The Pennsylvania State University) and John Stufken (George Mason University), all of whom are members of the DATAI Scientific committee .