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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Call for workshop papers: Computational Archival Science – digital records in the age of big data.</span><span style="font-size: 11pt; font-family: Arial;"><o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial;"><a href="http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/"><span style="color: blue; text-decoration: none;">http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/</span></a><o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">The workshop will be held on 8 December in Washington DC, USA, in conjunction with the </span><span style="font-size: 11pt; font-family: Arial;"><a href="http://cci.drexel.edu/bigdata/bigdata2016/"><span style="color: rgb(17, 85, 204);">2016
IEEE International Conference on Big Data (IEEE BigData 2016)</span></a><span style="color: rgb(34, 34, 34);">.<o:p></o:p></span></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Submission Deadline: 3 October 2016</span><span style="font-size: 11pt; font-family: Arial;"><o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">******************************************************************<o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">The large-scale digitization of analogue archives, the emerging diverse forms of born-digital archive, and new ways of engaging with archival material, 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 scholarship through the application
of computational methods and tools.</span><span style="font-size: 11pt; font-family: Arial;"><o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">This workshop will explore this conjunction of emerging methods and technologies around big data with archival practice, and examine 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, as well addressing the questions and concerns scholarship is raising about the interpretation of ‘big data’ and the uses to which it is put.</span><span style="font-size: 11pt; font-family: Arial;"><o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Full papers, of up to 9 pages, should be submitted via the conference online submission system. We also encourage submission of short papers (up to 4 pages) reporting work in progress.
The submission deadline is 3 October 2016. All papers accepted will be included in the proceedings published by the IEEE Computer Society Press.</span><span style="font-size: 11pt; font-family: Arial;"><o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Topics covered by the workshop include, but are not restricted to, the following:<o:p></o:p></span></p>
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<li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Application of analytics to archival material, including text-mining, data-mining, sentiment analysis, network analysis.<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Analytics in support of archival processing, including appraisal, arrangement and description.<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Scalable services for archives, including identification, preservation, metadata generation, integrity checking, normalization,
reconciliation, linked data, entity extraction, anonymization and reduction.<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">New forms of archives, including Web, social media, audiovisual archives, and blockchain.<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Cyber-infrastructures for archive-based research and for development and hosting of collections<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Big data and archival theory and practice<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Digital curation and preservation<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Crowd-sourcing and archives<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Big data and the construction of memory and identity<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Specific big data technologies (e.g. NoSQL databases) and their applications<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Corpora and reference collections of big archival data<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Linked data and archives<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Big data and provenance<o:p></o:p></span></span></li><li><span style="font-family: Cambria; font-size: 16px;"><span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">Constructing big data research objects from archives<o:p></o:p></span></span></li></ul>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">The workshop builds on three earlier workshops on ‘Big Humanities Data’ organized by the same chairs at the 2013-2015 IEEE Big Data conferences.</span><span style="font-size: 11pt; font-family: Arial;"><o:p></o:p></span></p>
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<span style="font-size: 11pt; font-family: Arial; color: rgb(34, 34, 34);">For more information, see the full workshop Call for Papers at</span><span style="font-size: 11pt; font-family: Arial;"><a href="http://bighumanities.net/events/ieee-bigdata-oct-2015-workshop-call-for-papers/"><span style="color: rgb(34, 34, 34); text-decoration: none;"> </span></a><a href="http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/"><span style="color: blue; text-decoration: none;">http://dcicblog.umd.edu/cas/ieee_big_data_2016_cas-workshop/</span></a></span></p>
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