Data is Not Enough

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It was refreshing to chat to Dr. Carlos Vega, Research Engineer at the Luxembourg Institute of Health and a teacher at the University of Luxembourg. Carlos, who recently distinguished himself in the science.lu Science Writing competition, is a very good communicator. In this episode we explore the practical challenges of data collection, processing, and visualisation, highlighting the pitfalls and ethical considerations that accompany the use of data in scientific research.

Carlos uses vivid analogies, such as the omelette analogy from his award-winning article, to illustrate complex concepts in a relatable manner. The conversation also touches on the role of inductive reasoning and the potential for errors in data interpretation.

This episode is a must-listen for anyone interested in the intersection of data science, ethics, and technology.

USEFUL LINKS

Carlos’ article on science.lu

Article about COVID-19 Machine Learning Models

Flawed Datasets of Monkeypox Skin Images

Related SciLux episodes:

- Episode with Aida Horaniet Ibañez about Data Viz

- Episode with Prof. Christophe Ley about Statistics and Data Science

- Episode with Dr. German Castignani about Digital Twins