David Solans
Scholar

David Solans

Google Scholar ID: hcZ0tb8AAAAJ
Research Scientist @ Telefónica Research
Algorithmic FairnessAlgorithmic discriminationMachine biasArtificial IntelligenceData
Citations & Impact
All-time
Citations
544
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • He has authored or co-authored over 15 scientific publications and up to 5 patents published in the U.S. patents office. Specific publications include:
  • - 2021: 'Learning to Classify Morals and Conventions: Artificial Intelligence in Terms of the Economics of Convention' at ICWSM;
  • - 2021: 'Comparing Equity and Effectiveness of Different Algorithms in an Application for the Room Rental Market' at AIES;
  • - 2020: 'Poisoning attacks on algorithmic fairness' at ECML/PKDD.
Research Experience
  • He has been an author or co-author on numerous research projects, publishing peer-reviewed articles. Additionally, he has taught courses on Bias and Discrimination in AI at EM Lyon and Fairness, Accountability, Transparency, and Ethics in Data Processing at Universitat Pompeu Fabra.
Education
  • After several years working in industrial R&D projects, he pursued a Master of Science in Foundations of Data Science from the University of Barcelona (UB). He is currently pursuing a PhD in Algorithmic Fairness under the supervision of Dr. Carlos Castillo and Prof. Dr. Caterina Calsamiglia at Universitat Pompeu Fabra (UPF).
Background
  • Data and Research Scientist with a special interest in innovative data-oriented projects. His research interests involve the study of how technology can be leveraged to solve issues of social significance.