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Mark Conrad <[log in to unmask]>
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Records Management Program <[log in to unmask]>
Tue, 26 Jun 2018 08:57:39 -0400
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*Call for Papers for the 3rd Computational Archival Science (CAS) Workshop
at the IEEE Big Data 2018 Conference: Due Oct. 8See:
Title: 3rd Computational Archival Science (CAS) workshopLocation: Seattle,
WAPART OF: IEEE Big Data 2018
<>*** There is a 1-day
registration option ***Important dates: - Oct 8, 2018: Due date for full
workshop papers submission- Oct 29, 2018: Notification of paper acceptance
to authors- Nov 15, 2018: Camera-ready of accepted papers- Dec 10 – 13,
2018: Workshop [exact date TBD]All papers accepted for the workshop will be
included in the Proceedings published by the IEEE Computer Society Press,
made available at the iEEE Big Data Conference.
------------------------------Introduction to workshop:The large-scale
digitization of analog archives, the emerging diverse forms of born-digital
archives, and the new ways in which researchers across disciplines (as well
as the public) wish to engage with archival material, are resulting in
disruptions to transitional 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 to the archival problem space, and, more fundamentally,
through the integration of ‘computational thinking’ with ‘archival
thinking’.This workshop will 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. At the same time, 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.This is the 3rd
workshop at IEEE Big Data addressing Computational Archival Science,
following on from workshops in 2016
<> and 2017
<>.It also
builds on three earlier workshops on ‘Big Humanities Data’ organized by the
same chairs at the 2013-2015 conferences, and more directly on a symposium
held in April 2016 at the University of Maryland
Research topics for the CAS#3 Workshop:Topics covered by the workshop
include, but are not restricted to, the following: - Application of
analytics to archival material, including text-mining, data-mining,
sentiment analysis, network analysis.- Analytics in support of archival
processing, including e-discovery, identification of personal information,
appraisal, arrangement and description.- Scalable services for archives,
including identification, preservation, metadata generation, integrity
checking, normalization, reconciliation, linked data, entity extraction,
anonymization and reduction.- New forms of archives, including Web, social
media, audiovisual archives, and blockchain.- Cyber-infrastructures for
archive-based research and for development and hosting of collections- Big
data and archival theory and practice- Digital curation and preservation-
Crowd-sourcing and archives- Big data and the construction of memory and
identity- Specific big data technologies (e.g. NoSQL databases) and their
applications- Corpora and reference collections of big archival data-
Linked data and archives- Big data and provenance- Constructing big data
research objects from archives- Legal and ethical issues in big data
archivesProgram Chairs:Dr. Mark HedgesDepartment of Digital Humanities
(DDH)King’s College London, UKProf. Victoria LemieuxSchool of Library,
Archival and Information StudiesUniversity of British Columbia, CanadaProf.
Richard MarcianoDigital Curation Innovation Center (DCIC)College of
Information StudiesUniversity of Maryland, USA*

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