history of data / data in history

View the Project on GitHub matthewljones/datahist

history of data / data in history

With the support of the Sloan Foundation, the workshop “History of Data / Data in History” will take place at Columbia University in New York this April 17-18, 2015. The workshop will bring together two communities: 1) historians of science and technology dealing with Big Data and its many history predecessors, and 2) scholarsdrawing upon many of the techniques of text mining, social network analysis, and other analytical tools associated with Big Data. It will be one of the inaugural events of Columbia's new Center for Science and Society.

Historians of data offer greater analytical purchase on the limitations and dangers of the collection and analysis of different forms of data. They likewise serve as a powerful correction to historical myopia about “big data” today. Data-focused computational historians work with techniques well-suited to the volume of historical records often common in the last two centuries and illuminating applied to traditional historical sources such as learned correspondence. This workshop aims to foster a greater critical literacy around data by drawing together these two sets of competencies that too rarely overlap. This workshop would critically examine the techniques for the study of historical evidence and the creation of histories of large-scale objects previously resistant to more traditional methods within the history of science by pushing the start of art of tools in computational history. It will drawup on the critical acuity central to the history of science and technology to help refine our computational tools; better to understand their limits; and to improve upon them. The goal is not simply mutual critique, but the sharpening of tools and methodologies, qualitative and quantitative.

Participants will contribute a pre-circulated paper anywhere from 15 to 50 pages; this paper ideally would be what you consider your most salient work, that you feel would benefit from an intense intellectual exchange.

Confirmed participants

Martha Poon Institute for Data & Society | Patrick McCray UCSB

Manfred Laublicher ASU | Frédéric Brechenmacher Ecole polytechnique

David Sepkoski MPIWG--Berlin | Evan Hepler-Smith Princeton

Henry Cowles Yale | Joanna Radin Yale

Dennis Tenen Columbia | Arunabh Ghosh Harvard

Alex Wellerstein Stevens | Janet Vertesi Princeton

Megan Finn Washington | Fred Gibbs New Mexico

Matthew Jones Columbia | Karen Levy NYU

Frank Pasquale UMD Law | Lev Manovich CUNY