DATAI celebrates the submission the 4th 2024–2025 Awards in data Science data Artificial Intelligence
The winners, Alberto García Galindo, Mikel Hernáez Arrazola, and Matías Ávila Clemente, received their diplomas at a ceremony recognizing their contribution to research the social impact of artificial intelligence.
PhotoManuel Castells/From left to right: The authors of the research, Mikel Hernáez, Matías Ávila Clemente, Jesús López Fidalgo, and Alberto García Galindo.
03 | 02 | 2026
The Institute of data Science data Artificial Intelligence (DATAI) celebrated the submission its fourth edition of the DATAI Awards 2024–2025 on Friday, January 23, at a ceremony held at the DATAI facilities, where Alberto García Galindo, Mikel Hernáez Arrazola, and Matías Ávila Clemente received their certificates of recognition.
The ceremony highlighted not only the scientific excellence of the researchers, but also their commitment to applications with a tangible impact on society. The award winners are members of DATAI, where they carry out part of their research make outstanding contributions to the advancement of data science data artificial intelligence.
Alberto García Galindo received the award best methodological contribution for his work eliminating biases in decision-making through multi-objective optimization. "This recognition reinforces my motivation to develop fairer and more reliable artificial intelligence, capable of balancing accuracy and fairness in high-risk contexts," he said.
Mikel Hernáez Arrazola shared the award best applied contribution for his research drug repositioning using artificial intelligence. In his speech, he emphasized the value of partnership between different scientific and technical profiles, "which are a core topic advancing the development new tools in pharmacology and the application of AI in biomedicine."
According to Matías Ávila Clemente, "the award the potential of combining classical statistical methods with rigorous exploratory analysis to generate operational solutions of public value." His approach time series techniques to anticipate pollution peaks in Madrid, taking nitrogen reference letter (NO₂) as reference letter reddish-brown toxic gas that serves as an indicator of urban air quality, with higher concentrations in areas of heavy traffic.
The jury, composed of Amparo Alonso Betanzos (University of A Coruña), Enrique del Castillo (Pennsylvania State University), and John Stufken (George Mason University), highlighted the originality, rigor, and international reach of the award-winning research.
The submission the DATAI Awards 2024–2025 is thus consolidated as an quotation that highlights not only scientific innovation in artificial intelligence and data science, but also its applicability and impact on society.