Slides fra seminar den 22. juni 2015 med titlen Data Science and the Fourth Paradigm: Data-Intensive Scientific Discovery

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