Manipulating and processing masses of digital data is never a purely technical activity. It requires an interpretative and exploratory outlook – already well known in the social sciences and the humanities – to convey intelligible results from data analysis algorithms and create new knowledge.
Big Data is based on an inquiry of several years within Proxem, a software publisher specializing in big data processing. The book examines how data scientists explore, interpret and visualize our digital traces to make sense of them, and to produce new knowledge. Grounded in epistemology and science and technology studies, Big Data offers a reflection on data in general, and on how they help us to better understand reality and decide on our daily actions.
1. From Trace to Web Data: An Ontology of the Digital Footprint.
2. Toward an Epistemic Continuity Anchored in the Cultural Sciences.
3. The Status of Computation in Data Sciences.
4. A Practical Big Data Use Case.
5. From Narratives to Systems: How to Shape and Share Data Analysis.
6. The Art of Data Visualization.
7. Knowledge and Decision.
Églantine Schmitt holds a PhD in Philosophy of Science from the University of Technology of Compiègne (Sorbonne Universités), France. After 7 years at Proxem, she has devoted her career to building bridges between humans and technology through product management and design, in a start-up environment.
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