Analysis of personal data under a ethics code
The analyses will focus on the interpretability of the results for two reasons: the client’s understanding of the results and the explanability of the results in order to avoid bias.
Biases that may affect the model will be checked to prevent certain groups from being harmed by social dynamics of discrimination.
Only research that ensures the anonymisation of the data analysed and does not allow deanonymisation through metadata at later stages may be carried out.
Multidisciplinary team of experts with great dedication and advanced knowledge in complex systems, personal data analysis and social engineering
Research and analysis adapted to your needs
Miguel Ángel Liébanas
Our multidisciplinary team approaches research and data analysis tasks from computer science, physics and social engineering. Our methodology: a combination of the data mining cycle with the intelligence analysis cycle.