*Call for Papers for the 3rd Computational Archival Science (CAS) Workshop at the IEEE Big Data 2018 Conference: Due Oct. 8See: https://urldefense.proofpoint.com/v2/url?u=http-3A__dcicblog.umd.edu_cas_ieee-2Dbig-2Ddata-2D2018-2D3rd-2Dcas-2Dworkshop_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=7Y8HORVFJa3d3shvaJU2VU7Wb-98HLReuN6e690LkfM&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__dcicblog.umd.edu_cas_ieee-2Dbig-2Ddata-2D2018-2D3rd-2Dcas-2Dworkshop_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=7Y8HORVFJa3d3shvaJU2VU7Wb-98HLReuN6e690LkfM&e=>Workshop Title: 3rd Computational Archival Science (CAS) workshopLocation: Seattle, WAPART OF: IEEE Big Data 2018https://urldefense.proofpoint.com/v2/url?u=http-3A__cci.drexel.edu_bigdata_bigdata2018_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=CuE9Hs0QptcxSCXKnK0uCL7Qf7gxWHZDgCKcSwRyhc8&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__cci.drexel.edu_bigdata_bigdata2018_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=CuE9Hs0QptcxSCXKnK0uCL7Qf7gxWHZDgCKcSwRyhc8&e=>*** 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 <https://urldefense.proofpoint.com/v2/url?u=http-3A__dcicblog.umd.edu_cas_ieee-5Fbig-5Fdata-5F2016-5Fcas-2Dworkshop_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=pJwcIjTvJsVGt0_btI7MNdS_liL5fZ6k2_XQ3i2SSxg&e=> and 2017 <https://urldefense.proofpoint.com/v2/url?u=http-3A__dcicblog.umd.edu_cas_ieee-2Dbig-2Ddata-2D2018-2D3rd-2Dcas-2Dworkshop_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=7Y8HORVFJa3d3shvaJU2VU7Wb-98HLReuN6e690LkfM&e=>.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 (https://urldefense.proofpoint.com/v2/url?u=http-3A__dcicblog.umd.edu_cas_dcickcl-2Dinvited-2Dcas-2Dsymposium-2Dapr-2D2016_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=5yMaaKoiM9CN2NtBXEFBa9xuxr6hEYB1e7o_6m9pZnE&e= <https://urldefense.proofpoint.com/v2/url?u=http-3A__dcicblog.umd.edu_cas_dcickcl-2Dinvited-2Dcas-2Dsymposium-2Dapr-2D2016_&d=DwIFaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=b5NZPQUb9_r2rQ3Zd74ATT3aSs9yKyRnJLOhqJvd7fE&m=Gg32cSfzJmgR-L6YzWDo1l3kKfspw0GmwqreR-O_JC0&s=5yMaaKoiM9CN2NtBXEFBa9xuxr6hEYB1e7o_6m9pZnE&e=>).Recommended 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* List archives at http://lists.ufl.edu/archives/recmgmt-l.html Contact [log in to unmask] for assistance To unsubscribe from this list, click the below link. 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