Data Science and the Fourth Paradigm by Torben Bach Pedersen
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The document discusses the emergence of data science as a foundational discipline in various domain sciences, highlighting its importance for scientific breakthroughs and analytics capabilities. It introduces the 'fourth paradigm' of data-intensive scientific discovery and outlines an agenda for a related event, featuring presentations and discussions on topics such as democratizing data science and challenges in the field. This signifies a shift towards leveraging large-scale data across multiple sectors, including industry and social sciences.
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Data Science and the Fourth Paradigm by Torben Bach Pedersen
- 1. Data Science and the Fourth Paradigm: Data-Intensive Scientific Discovery
- 2. Motivation • Data collected at unprecedented scale and speed Industry, retail, marketing, web, social media,… Many domain sciences, e.g., CERN LHC • Scientific breakthroughs dependent on advanced data analytics capabilities • Data science Emerging as foundational discipline for most domain sciences ”Data scientist is the sexiest job of the 21st century” • ”The Fourth Paradigm” of scientific discovery New paradigm of data-intensive scientific discovery Data Science and the Fourth Paradigm: Data-Intensive Scientific Discovery, June 22, 2015 2
- 3. Agenda • 14:00-14:10: Welcome, Torben Bach Pedersen, Center for Data-intensive Systems (Daisy), Aalborg University • 14:10-15:10: Democratizing Data Science, Bill Howe, University of Washington eScience Institute • 15:25-16:10: Data Science and some (classical) challenges, Søren Højsgaard, Department of Mathematical Sciences, Aalborg University • 15:25-16:10: Extracting Value from Big Data – The Case of Vehicular Traffic Data, Christian S. Jensen, Center for Data-intensive Systems (Daisy), Aalborg University • 16:10-16:30: Plenary discussion Data Science and the Fourth Paradigm: Data-Intensive Scientific Discovery, June 22, 2015 3