Upcoming data speakers on UW Campus

Several upcoming speakers on the UW campus will be of interest to local data folks:

• Tuesday, April 28 @ 1:30, Data Science Studio, 6th floor Physics/Astronomy Tower. Tony Hey will speak on Physics and Computing: Open Science Decoded. Abstract: "The talk will start with the OSTP memo on open access, and then go on to discuss executable papers and best practice for reproducibility of computational physics research. After looking at computing for Big Physics (e.g. the ATLAS collaboration at the CERN LHC), for Medium-scale Physics (with the UK's Collaborative Computational Projects), and for Long Tail Physics, the paper ends with some comments about open source, scientific software quality and career paths for scientific software developers."
• Wednesday, April 29 @ 2pm, Allen Auditorium, Allen Library. Data Librarian Jenny Muilenburg will address Data Management Plans: Reading, Writing, and Sharing. Topics will include some of the different agency requirements around DMPs, some local resources to help create DMPs, and some examples from different disciplines.
• Wednesday, April 29 @ 3:30pm, Data Science Studio. Cesar Hidalgo from the MIT Media Lab, Why Information Grows: The Evolution of Order, from Atoms to Economies. Abstract: "The universe is made of energy, matter and information; but information is what makes the universe interesting. Without information, the universe would lack the shapes, structures, and order that gives the universe both its beauty and complexity. But where does information comes from and what are the natural, social, and economic mechanisms that help information grow? In this talk I will describe the growth of physical order—or information—from atoms to economies by explaining the physical mechanisms that allow order to exist, and the social and economic mechanisms that allow order to prevail in our society and economy."
• Tuesday, May 5 @ 4pm, Data Science Studio. There will be an Integrative Graduate Education and Research Traineeship (IGERT)Info Session and Reception, useful for those wanting to know more about the Big Data IGERT PhD fellowship or the PhD program. Brief presentations from several IGERT students on current research will be features, as well as a Q&A session.