The workshop will be held on Wednesday, December 13, 2017 in Boston, MA, USA, in conjunction with the 2017 IEEE International Conference on Big Data (IEEE BigData 2017).
The large-scale digitization of analog archives, the emerging diverse forms of digital records and systems, and new ways of engaging with archival material using technology, are resulting in disruptions to traditional archival theories and practices. Increasing quantities of ‘big archival data’ present challenges for the practitioners and researchers who work with archival material, but also offer enhanced possibilities for use and scholarly exploration through the application of computational methods and tools.
This workshop will explore this conjunction of emerging methods and technologies around digital records and big data with archival theory and practice, and will examine new forms of records generation and historical, social, scientific, and cultural research engagement with archival institutions. We aim to identify and evaluate current trends, requirements, and potential in these areas, to examine the new questions that they can provoke, and to help determine possible research agendas for the evolution of computational archival science in the coming years, as well as addressing the questions and concerns scholarship is raising about the interpretation of ‘big data’ and the uses to which it is put.
Full papers, of up to 10 pages, should be submitted via the online submission system at https://wi-lab.com/cyberchair/2017/bigdata17/scripts/ws_submit.php. We also encourage submission of short papers (up to 6 pages) reporting work in progress. The submission deadline is October 10, 2017. All papers accepted will be included in the proceedings published by the IEEE Computer Society Press.
The workshop builds on a number of recent developments in Computational Archival Science (see: http://dcicblog.umd.edu/cas/), and in particular on the 1st Computational Archival Science workshop at IEEE Big Data 2016 (see: http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/), which attracted a range of professionals and researchers, both from the DC area and internationally.
For more information, see the full workshop Call for Papers at http://dcicblog.umd.edu/cas/ieee_big_data_2017_cas-workshop/