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2014 was a productive year for the Computation Institute, so much so that we can't even fit our entire year in review into a single post. From papers on influenza, climate modeling, whole genome analysis, and autism prevalence to workshops on research data management, urban research, and the science of science, the Computation Institute was active across the University of Chicago and Argonne National Laboratory campuses and beyond, facilitating collaboration between disciplines and applying powerful computational tools to accelerate the pace of science. In this post, we cover January through June of this busy 2014, with the second half of the year coming later this week. Happy Holidays!

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Data visualization is among the hottest of science and technology terms right now, gathering more attention and hype as experts deal with larger and larger collections of data.

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A pioneering new project at the University of Chicago and Oxford University, supported by the National Endowment for the Humanities, will use data analysis techniques to develop a massive digital “commonplace book.” Identifying and analyzing these commonplaces will shed light on how knowledge spread and transformed in the early modern period, according to Robert Morrissey, one of the leaders of the “Commonplace Cultures” project.