December 1, 2022
Dr. Zoltán Alexin presented the newest results of his research on data entropy at the International Conference on Learning and Implementing Social Innovation (Coimbra, Portugal) and at the 35th Neumann Colloquium (Szeged, Hungary).
Dr. Alexin’s lecture was titled “The entropy of databases containing personal data” and its subject matter was data anonymization – making sure that personal data, when used for scientific studies or other secondary purposes is truly impossible to re-identify. He introduced a procedure, with the help of which we can determine the entropy of a given dataset. The difference between the actual entropy and the maximum achievable entropy allows to estimate the risk of re-identification. The higher the difference, the smaller the risk of re-identification.
His newest findings were first presented at the International Conference on Learning and Implementing Social Innovation 2022, held on the 8th and 9th of November in Coimbra. The conference, co-located and co-organized by the COST Action CA19136 NET4Age-Friendly and the Nursing School of Coimbra, aimed to share and discuss approaches, projects and best practices related to Social Innovation and how to implement and develop healthier and inclusive environments.
Later that month, he presented his results at the 35thNeumann Colloquium; an annual scientific meeting with 30-80 speakers mainly from the academia and medical software and medical device vendors. This year’s Colloquium was organized by the Institute of Medical Informatics of the Faculty of Medicine, held in Szeged on the 24th and 25th of November, and its overarching topic was how health informatics has been transformed because of covid.
The Neumann Colloquium’s publication can be read on its website (in Hungarian), including Dr Alexin’s article.
Additionally, his presentation at the Net4Age conference (in English) can be viewed here.