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Computational Archival Science (CAS) looks to explore the conjunction (and its consequences) of emerging methods and technologies around big data with archival practice and new forms of analysis and historical, social, scientific, and cultural research engagement with archives. 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.
Moreover, we will address the questions and concerns scholarship is raising about the interpretation of ‘big data’ and the uses to which it is put, in particular appraising the challenges of producing quality – meaning, knowledge, and value – from quantity, tracing data and analytic provenance across complex ‘big data’ platforms and knowledge production ecosystems, and addressing data privacy issues.
Computational Archival Science Workshop at IEEE Big Data 2019 – Call for Papers
The organizers of the Computational Archival Science (CAS) Workshop at IEEE Big Data 2019 has issued a formal call for papers. This is the 4th workshop at IEEE Big Data addressing Computational Archival Science, following on from workshops in 2016 (D.C.), 2017 (Boston), and 2018 (Seattle). All papers accepted for the workshop will be included in the Conference Proceedings published by the IEEE Computer Society Press, made available at the conference, which takes place Dec. 9 – 12, 2019 in Los Angeles, CA, USA.